MATLAB...

MATLAB

dilate BW2=dilate(BW1SE) BW2=dilate(BW1SEn) BW2=dilate(BW1SE)SEBW1BW1doubleunit8BW2unit8BW2=dilate(BW1SEn)n 2erode BW2= erode(BW1SE) BW2= erode(BW1SEn) BW2= erode(BW1SE)SEBW1BW1doubleunit8BW2unit8BW2= erode(BW1SEn)n 3bwmorph BW2=bwmorph(BW1operation) BW2=bwmorph(BW1operationn) bwmorphBW1bwmorphBW1noperation clean(01) close dilate erode 4imclose IM2=imclose(IM,SE) IM2=imclose(IM,NHOOD) 5imopen IM2=imopen(IM,SE) IM2=imopen(IM,NHOOD) 3MATLAB 3.1 [4] tire.tif I1=imread('tire.tif'); %tire.tif I2=imnoise(I1,'salt & pepper'); % figure,imshow(I2) % I3=im2bw(I1); % figure,imshow(I3) % I4=bwmorph(I3,'open'); % figure,imshow(I4) % I5=bwmorph(I4,'close'); % figure,imshow(I5) %

Matlab

1. Matlab 1.1 imhist imhist(I,n) imhist(X,map)imhist(I,n) n 256imhist(X,map) X map stem(x,counts) 1.2 imcontour imcontour(I,n),imcontour(I,v)n v 1.3 imadjust J=imadjust(I,[low high],[bottom top],gamma) newmap=imadjust(map,[low high],[bottom top],gamma)J=imadjust(I,[low high],[bottom top],gamma) gamma r[low high] [bottom top] newmap=imadjust(map,[low high],[bottom top],gamma) map [low high] [bottom top] 23 RGB 31.4 histeq J=histeq(I,hgram) J=histeq(I,n) [J,T]=histeq(I,...) newmap=histeq(X,map,hgram) newmap=histeq(X,map) [new,T]=histeq(X,...)J=histeq(I,hgram) I hgram hgram [0,1] J=histeq(I,n) n 64[J,T]=histeq(I,...) I J T newmap=histeq(X,map) [new,T]=histeq(X,...) 2. Matlab imnoise J=imnoise(I,type) J=imnoise(I,type,parameter)J=imnoise(I,type) I J type parameter 3. Matlab 3.1 conv2 C=conv2(A,B) C=conv2(Hcol,Hrow,A) C=conv2(...,'shape') C=conv2(A,B) conv2 A B [Ma,Na]size(A), [Mb,Nb]=size(B), size(C)=[Ma+Mb-1,Na+Nb-1]; C=conv2(Hcol,Hrow,A) A Hcol Hrow C=conv2(...,'shape') conv2 shape full same A valid 0 size(A)>size(B) size(C)=[Ma-Mb+1,Na-Nb+1]3.2 conv conv2 3.3 filter2 fspecial Y=filter2(B,X) Y=filter2(B,X,'shape') Y=filter2(B,X) filter2 B FIR X Y X Y=filter2(B,X,'shape') filter2 Y shape full size(Y)>size(X) same Y X valid 0 size(Y)size(B) size(C)=[Ma-Mb+1,Na-Nb+1]3.2 conv conv2 3.3 filter2 fspecial Y=filter2(B,X) Y=filter2(B,X,'shape') Y=filter2(B,X) filter2 B FIR X Y X Y=filter2(B,X,'shape') filter2 Y shape full size(Y)>size(X) same Y X valid 0 size(Y)0mask_e=mask(1,[2:2:N-1]);mask_o=mask(1,[1:2:N]);elsemask_e=mask(1,[2:2:N]);mask_o=mask(1,[1:2:N-1]);end % for m=1:M; ee=conv(mask_e,phi); oo=conv(mask_o,phi); phi(1,[2:2:2*length(ee)])=ee; phi(1,[1:2:2*length(oo)-1])=oo;end;% phi=phi(1N-1)*(2^M)+1);X=linspace(0,N-1,(N-1)*2^M+1);%plot(X,phi); axis ([0,N-1,-0.5,1.5])axis square

mov=aviread('avi2.avi'); temp=size(mov); fnum=temp(2);% for t=1:1:fnum X=(mov(t).cdata);% end

MATLAB[]MATLABMATLAB Toolboxes New ZSM (zero sum multinomial)http://mcgillb.user.msu.edu/zsmcode.html

Binaural-modeling software for MATLAB/Windowshttp://www.lifesci.sus***.ac.uk/home/Michael_Akeroyd/download2.html

Statistical Parametric Mapping (SPM)http://www.fil.ion.ucl.ac.uk/spm/ext/

BOOTSTRAP MATLAB TOOLBOXhttp://www.csp.curtin.edu.au/downloads/bootstrap_toolbox.html

The DSS package for MATLABDSS Matlab package contains algorithms for performing linear, deflation and symmetric DSS.http://www.cis.hut.fi/projects/dss/package/ Psychtoolboxhttp://www.psychtoolbox.org/download.html Multisurface Method Tree with MATLABhttp://www.cs.wisc.edu/~olvi/uwmp/msmt.html A Matlab Toolbox for every single topic !http://stommel.tamu.edu/~baum/toolboxes.html eg. BrainStorm - MEG and EEG data visualization and processingCLAWPACK is a software package designed to compute numerical solutions to hyperbolic partial differential equations using a wave propagation approachhttp://www.amath.washington.edu/~claw/ DIPimage - Image Processing ToolboxPRTools - Pattern Recognition Toolbox (+ Neural Networks) NetLab - Neural Network ToolboxFSTB - Fuzzy Systems ToolboxFusetool - Image Fusion Toolboxhttp://www.metapix.de/toolbox.htm W***EKIT - Wavelet ToolboxGat - Genetic Algorithm Toolbox TSTOOL is a MATLAB software package for nonlinear time series analysis.TSTOOL can be used for computing: Time-delay reconstruction, Lyapunov exponents, Fractal dimensions, Mutual information, Surrogate data tests, Nearest neighbor statistics, Return times, Poincare sections, Nonlinear predictionhttp://www.physik3.gwdg.de/tstool/ MATLAB / Data description toolbox A Matlab toolbox for data description, outlier and novelty detection March 26, 2004 - D.M.J. Tax http://www-ict.ewi.tudelft.nl/~davidt/dd_tools/dd_manual.html MBEhttp://www.pmarneffei.hku.hk/mbetoolbox/ Betabolic network toolbox for Matlab http://www.molgen.mpg.de/~lieberme/pages/network_matlab.html Pharmacokinetics toolbox for Matlab http://page.inf.fu-berlin.de/~lieber/seiten/pbpk_toolbox.html

The SpiderThe spider is intended to be a complete object orientated environment for machine learning in Matlab. Aside from easy use of base learning algorithms, algorithms can be plugged together and can be compared with, e.g model selection, statistical tests and visual plots. This gives all the power of objects (reusability, plug together, share code) but also all the power of Matlab for machine learning research.http://www.kyb.tuebingen.mpg.de/bs/people/spider/index.html Schwarz-Christoffel Toolboxhttp://www.mathworks.com/matlabcentral/fileexchange/loadFile.do?objectId=1316&objectType=file#

XML Toolbox http://www.mathworks.com/matlabcentral/fileexchange/loadFile.do?objectId=4278&objectType=file FIR/TDNN Toolbox for MATLAB Beta version of a toolbox for FIR (Finite Impulse Response) and TD (Time Delay) Neural Networks. http://www.cs.utep.edu/interval-comp/dagstuhl.03/oish.pdf Misc. http://www.dcsc.tudelft.nl/Research/Software/index.html Astronomy Saturn and Titan trajectories ... MALTAB astronomyhttp://sprg.ssl.berkeley.edu/~abrecht/Matlab-codes/

Audio MA Toolbox for Matlab Implementing Similarity Measures for Audiohttp://www.oefai.at/~elias/ma/index.html MAD - Matlab Auditory Demonstrationshttp://www.dcs.shef.ac.uk/~martin/MAD/docs/mad.htm

Music Analysis - Toolbox for Matlab : Feature Extraction from Raw Audio Signals for Content-Based Music Retrievalhttp://www.ai.univie.ac.at/~elias/ma/

WarpTB - Matlab Toolbox for Warped DSPBy Aki Hrm and Matti Karjalainenhttp://www.acoustics.hut.fi/software/warp/

MATLAB-related Softwarehttp://www.dpmi.tu-graz.ac.at/~schloegl/matlab/

Biomedical Signal data formats (EEG machine specific file formats with Matlab import routines)http://www.dpmi.tu-graz.ac.at/~schloegl/matlab/eeg/

MPEG Encoding library for MATLAB Movies (Created by David Foti)It enables MATLAB users to read (MPGREAD) or write (MPGWRITE) MPEG movies. That should help Video Quality project.

Filter Design packagehttp://www.ee.ryerson.ca:8080/~mzeytin/dfp/index.html

Octave by Christophe COUVREUR (Generates normalized A-weigthing, C-weighting, octave and one-third-octave digital filters)http://www.mathworks.com/matlabcentral/fileexchange/loadFile.do?objectType=file&objectId=69

Source Coding MATLAB Toolboxhttp://www.ece.umn.edu/users/kieffer/programs.html

Bio Medical Informatics (Top) CGH-Plotter: MATLAB Toolbox for CGH-data AnalysisCode: http://sigwww.cs.tut.fi/TICSP/CGH-Plotter/ Poster: http://sigwww.cs.tut.fi/TICSP/CSB2003/Posteri_CGH_Plotter.pdf

The Brain Imaging Software Toolboxhttp://www.bic.mni.mcgill.ca/software/

MRI Brain Segmentationhttp://www.mathworks.com/matlabcentral/fileexchange/loadFile.do?objectId=4879

Chemometrics (providing PCA) (Top) Matlab Molecular Biology & Evolution Toolbox(Toolbox Enables Evolutionary Biologists to Analyze and View DNA and Protein Sequences)James J. Cai http://www.pmarneffei.hku.hk/mbetoolbox/

Toolbox provided by Prof. Massart research grouphttp://minf.vub.ac.be/~fabi/publiek/

Useful collection of routines from Prof age smilde research grouphttp://www-its.chem.uva.nl/research/pac

Multivariate Toolbox written by Rune Mathisenhttp://www.bitjungle.com/~mvartools/index.html

Matlab code and datasetshttp://www.acc.umu.se/~tnkjtg/chemometrics/dataset.html

Chaos (Top) Chaotic Systems Toolbox http://www.mathworks.com/matlabcentral/fileexchange/loadFile.do?objectId=1597&objectType=file#

HOSA Toolboxhttp://www.mathworks.nl/matlabcentral/fileexchange/loadFile.do?objectId=3013&objectType=file

Chemistry (Top) MetMAP - (Metabolical Modeling, Analysis and oPtimization alias Met. M. A. P.)http://webpages.ull.es/users/sympbst/pag_ing/pag_metmap/index.htm

DoseLab - A set of software programs for quantitative comparison of measured and computed radiation dose distributionshttp://doselab.sourceforge.net

GenBank Overviewhttp://www.ncbi.nlm.nih.gov/Genbank/GenbankOverview.html Matlab: http://www.mathworks.com/matlabcentral/fileexchange/loadFile.do?objectId=1139

Coding Code for the estimation of Scaling Exponentshttp://www.cubinlab.ee.mu.oz.au/~darryl/secondorder_code.html

Control (Top) Control Tutorial for Matlab http://www.engin.umich.edu/group/ctm/

Another Communications (Top) Channel Learning Architecture toolbox(This Matlab toolbox is a supplement to the article "HiperLearn: A High Performance Learning Architecture")http://www.isy.liu.se/cvl/Projects/hiperlearn/

Source Coding MATLAB Toolboxhttp://www.ece.umn.edu/users/kieffer/programs.html

TCP/UDP/IP Toolbox 2.0.4http://www.mathworks.com/matlabcentral/fileexchange/loadFile.do?objectId=345&objectType=file

Home Networking Basis: Transmission Environments and Wired/Wireless ProtocolsWalter Y. Chenhttp://www.mathworks.com/support/books/book5295.jsp?category=new&language=-1 MATLAB M-files and Simulink models http://www.mathworks.com/matlabcentral/fileexchange/loadFile.do?objectId=3834&objectType=file

Engineering (Top) OPNML/MATLAB Facilitieshttp://www.opnml.unc.edu/OPNML_Matlab/

Mesh Generationhttp://www.cs.cornell.edu/home/vavasis/qmg-home.html

OpenFEM : An Open-Source Finite Element Toolbox http://www.openfem.net/

CALFEM is an interactive computer program for teaching the finite element method (FEM)http://www.byggmek.lth.se/Calfem/frinfo.htm

The Engineering Vibration Toolboxhttp://www.cs.wright.edu/people/faculty/jslater/vtoolbox/vtoolbox.html

SaGA - Spatial and Geometric Analysis Toolboxby Kirill K. Pankratovhttp://puddle.mit.edu/~glenn/kirill/saga.html

ASCIIMATLAB

6.1

abs

ASCII

dec2hex

fprintf

hex2dec

hex2num

IEEE

int2str

lower

num2str

setstr

ASCII

sprintf

sscanf

str2mat

str2num

upper

rad=2.5; area=pi*rad^2;

t=[' A circle of radius ' num2str(rad) ' has an area of ' num2str(area) ' . ' ] ;

disp(t)

A circle of radius 2.5 has an area of 19.63.

num2strint2strnum2strint2strsprintfC

fprintfdisp

fprintf(' See what this does ')

See what this does

fprintf(' See what this does\n ')

See what this does

fprintfMATLAB\n MATLAB

fprintfsprintffprintfsprintfnum2str

t=sprintf(' A circle of radius %.4g has an area of %.4g. ', rad, area);

disp(t)


fprintf(' A circle of radius %.4g has an area of %.4g.\n ' , rad, area)


%.4gnum2str%.4g4ge ()f ()6.2pi

6.2

fprintf(' %.0e\n ',pi)

3e+00


3.1e+00


3.142e+00


3.14159e+00


3.1415926536e+00

fprintf(' %.0f\n ',pi)

3


3.1


3.142


3.14159


3.1415926536

fprintf(' %.0g\n ',pi)

3


3


3.14


3.1416


3.141592654

fprintf(' %.8.0g\n ',pi)

3


3


3.14


3.1416


3.141592654

e f g 888

dispnum2strint2strfprintfsprintf

str2mat

a=' one ' ; b= ' two ' ; c= ' three ' ;

disp(str2mat(a, b, c, ' four '))

one

two

three

four

s= ' [1 2; pi 4] ' % a string of a MATLAB matrix

s =

[1 2; pi 4]

str2num(s)

ans =

1.0000 2.0000

3.1416 4.0000

s=' 123e+5 ' % a string containing a simple number

s =

123e+5

str2num(s)

ans =

12300000

str2num

MATLAB6.3

6.3

eval(string)

MATLAB

eval(try,catch)

blanks(n)

n

deblank

feval

findstr

isletter

isspace

isstr

lasterr

MATLAB

strcmp

strrep

strtok

evalMATLAB

a=eval(' sqrt(2) ')

a =

1.4142

eval(' a=sqrt(2) ')

a =

1.4142

eval2eval

evalMATLAB

eval(' a=sqrtt(2) ',' a=[ ] ')

a =

[ ]

sqrttMATLABeval(try,catch)

fevalevalfeval(' fun ',x)' fun 'xfeval(' fun ',x)fun(x)

a=feval(' sqrt ' ,2)

a =

1.4142

evalfevalfevalfeval(' fun ', x, y, z) fun(x, y, z)

findstr

b=' Peter Piper picked a peck of pickled peppers ' ;

findstr(b,' ') % find space

ans =

6 12 19 21 26 29 37

findstr(b,' p ') % find the letter p

ans =

9 13 22 30 38 40 41

find(b= = ' p ') % for single character searches the find command works too

ans =

9 13 22 30 38 40 41

findstr(b, ' cow ') % find the word cow

ans =

[ ]

findstr(b,' pick ') % find the string pick

ans =

13 30

findstr

strrep(b, ' p ', ' P ') % capitalize all p ' s

ans =

Peter PiPer Picked a Peck of Pickled PePPers

strrep(b, ' Peter ', ' Pamela ') % change Peter to Pamela

ans =

Pamela Piper picked a peck of pickled peppers

strrepstrrep

strtok

disp(b)

Peter Piper picked a peck of pickled peppers

strtok(b) % find first token in above string separated by whitespace

ans =

Peter

[c, r]=strtok(b) % return the remainder of the string array in r

c =

Peter

r =

Piper picked a peck of pickled peppers

[d,s]=strtok(r) %find the next token by using the previous remainder

d =

Piper

s =

picked a peck of pickled peppers

strtokstrtok

[d, s]=strtok(b, ' pP ') %let delimiter be lower or upper case P

d =

eter

s =

Piper picked a peck of pickled peppers

d = eter

6.1

MATLABASCII

t=' How about this character string? '

t =

How about this character string?

size(t)

ans =

1 32

whos

Name Size Elements Bytes Density Complex

ans 1 by 2 2 16 Full No

t 1 by 32 32 256 Full No

8MATLABASCII7/8MATLABMATLAB

ASCII

u=abs(t)

u =

Columns 1 through 12

72 111 119 32 97 98 111 117 116 32 116 104


105 115 32 99 104 97 114 97 99 116 101 114


32 115 116 114 105 110 103 63

u=t+0

u =


72 111 119 32 97 98 111 117 116 32 116 104


105 115 32 99 104 97 114 97 99 116 101 114


32 115 116 114 105 110 103 63

ASCIIsetstr

v=setstr(u)

v =

How about this character string?

MATLAB

u=t(16:24)

u =

character

1624character

u=t(24:-1:16)

u =

retcarahc

character

u=t(16:24)'

u =

c

h

a

r

a

c

t

e

r

character

v=' I can''t find the manual! '

v =

I can't find the manual!

u=' If a woodchuck could chuck wood, ' ;

v=' how much wood would a woodchuck chuck? ' ;

w=[u v]

w =

If a woodchuck could chuck wood, how much wood would a woodchuck chuck?

disp

disp(u)

If a woodchuck could chuck wood,

u =

v=[' Character strings having more than '

' one row must have the same number '

' of column just like matrices! ']

v =

Character strings having more than

one row must have the same number

of column just like matrices!

findsetstr

disp(u)

If a woodchuck could chuck wood,

i=find(u>=' a ' & u=' a ' & v 5

tape =

5

input

x=input(' Enter anything > ',' s ')

Enter anything > anything can be entered

x =

anything can be entered

inputsMATLAB

1.applylut

:

lookup.

:

A = applylut(BW,lut)

lut = makelut('sum(x() == 4',2);

BW1 = imread('text.tif');

BW2 = applylut(BW1,lut);

imshow(BW1)

figure, imshow(BW2)

:

makelut

2.bestblk

:

.

:

siz = bestblk([m n],k)

[mb,nb] = bestblk([m n],k)

siz = bestblk([640 800],72)

siz =

64 50

:

blkproc

3.blkproc

:

MATLAB 320

.

:

B = blkproc(A,[m n],fun)

B = blkproc(A,[m n],fun,P1,P2,...)

B = blkproc(A,[m n],[mborder nborder],fun,...)

B = blkproc(A,'indexed',...)

I = imread('alumgrns.tif');

I2 = blkproc(I,[8 8],'std2(x)*ones(size(x))');

imshow(I)

figure, imshow(I2,[]);

:

colfilt, nlfilter,inline

4.brighten

:

.

:

brighten(beta)

newmap = brighten(beta)

newmap = brighten(map,beta)

brighten(fig,beta)

:

imadjust, rgbplot

5.bwarea

:

.

:

total = bwarea(BW)

BW = imread('circles.tif');

imshow(BW);

MATLAB 321

bwarea(BW)

ans =

15799

:

bweuler, bwperim

6.bweuler.

:

.

:

eul = bweuler(BW,n)


imshow(BW);

bweuler(BW)

ans =

-2

:

bwmorph, bwperim

7.bwfill

:

.

:

BW2 = bwfill(BW1,c,r,n)

BW2 = bwfill(BW1,n)

[BW2,idx] = bwfill(...)

BW2 = bwfill(x,y,BW1,xi,yi,n)

[x,y,BW2,idx,xi,yi] = bwfill(...)

BW2 = bwfill(BW1,'holes',n)

[BW2,idx] = bwfill(BW1,'holes',n)

MATLAB 322

BW1 =[1 0 0 0 0 0 0 0

1 1 1 1 1 0 0 0

1 0 0 0 1 0 1 0

1 0 0 0 1 1 1 0

1 1 1 1 0 1 1 1

1 0 0 1 1 0 1 0

1 0 0 0 1 0 1 0

1 0 0 0 1 1 1 0]

BW2 = bwfill(BW1,3,3,8)

BW2 =

1 0 0 0 0 0 0 0

1 1 1 1 1 0 0 0

1 1 1 1 1 0 1 0

1 1 1 1 1 1 1 0

1 1 1 1 0 1 1 1

1 0 0 1 1 0 1 0

1 0 0 0 1 0 1 0

1 0 0 0 1 1 1 0

I = imread('blood1.tif');

BW3 = ~im2bw(I);

BW4 = bwfill(BW3,'holes');

imshow(BW3)

figure, imshow(BW4)

:

bwselect, roifill

8.bwlabel

:

.

:

MATLAB 323

L = bwlabel(BW,n)

[L,num] = bwlabel(BW,n)

BW = [1 1 1 0 0 0 0 0

1 1 1 0 1 1 0 0

1 1 1 0 1 1 0 0

1 1 1 0 0 0 1 0

1 1 1 0 0 0 1 0

1 1 1 0 0 0 1 0

1 1 1 0 0 1 1 0

1 1 1 0 0 0 0 0]

L = bwlabel(BW,4)

L =

1 1 1 0 0 0 0 0

1 1 1 0 2 2 0 0

1 1 1 0 2 2 0 0

1 1 1 0 0 0 3 0

1 1 1 0 0 0 3 0

1 1 1 0 0 0 3 0

1 1 1 0 0 3 3 0

1 1 1 0 0 0 0 0

[r,c] = find(L==2);

rc = [r c]

rc =

2 5

3 5

2 6

3 6

:

bweuler, bwselect

9.bwmorph

:

.

:

BW2 = bwmorph(BW1,operation)

BW2 = bwmorph(BW1,operation,n)

BW1 = imread('circles.tif');

MATLAB 324

imshow(BW1);

BW2 = bwmorph(BW1,'remove');

BW3 = bwmorph(BW1,'skel',Inf);

imshow(BW2)

figure, imshow(BW3)

:

bweuler, bwperim, dilate, erode

10.bwperim

:

.

:

BW2 = bwperim(BW1,n)

BW1 = imread('circbw.tif');

BW2 = bwperim(BW1,8);

imshow(BW1)

figure, imshow(BW2)

MATLAB 325

:

bwarea, bweuler, bwfill

11.bwselect

:

.

:

BW2 = bwselect(BW1,c,r,n)

BW2 = bwselect(BW1,n)

[BW2,idx] = bwselect(...)


c = [16 90 144];

r = [85 197 247];

BW2 = bwselect(BW1,c,r,4);

imshow(BW1)

figure, imshow(BW2)

:

bwfill, bwlabel, impixel, roipoly, roifill

12.cmpermute

MATLAB 326

:

.

:

[Y,newmap] = cmpermute(X,map)

[Y,newmap] = cmpermute(X,map,index)

To order a colormap by luminance, use:

ntsc = rgb2ntsc(map);

[dum,index] = sort(ntsc(:,1));

[Y,newmap] = cmpermute(X,map,index);

:

randperm

13.cmunique

:

.

:

[Y,newmap] = cmunique(X,map)

[Y,newmap] = cmunique(RGB)

[Y,newmap] = cmunique(I)

:

gray2ind, rgb2ind

14.col2im

:

.

:

A = col2im(B,[m n],[mm nn],block_type)

A = col2im(B,[m n],[mm nn])

:

blkproc, colfilt, im2col, nlfilter

15.colfilt

:

.

:

B = colfilt(A,[m n],block_type,fun)

B = colfilt(A,[m n],block_type,fun,P1,P2,...)

B = colfilt(A,[m n],[mblock nblock],block_type,fun,...)

B = colfilt(A,'indexed',...)

MATLAB 327

:

blkproc, col2im, im2col, nlfilter

16.colorbar

:

.

:

colorbar('vert')

colorbar('horiz')

colorbar(h)

colorbar

h = colorbar(...)


h = fspecial('log');

I2 = filter2(h,I);

imshow(I2,[]), colormap(jet(64)), colorbar

17.conv2

:

.

:

C = conv2(A,B)

C = conv2(hcol,hrow,A)

C = conv2(...,shape)

A = magic(5)

A =

17 24 1 8 15

23 5 7 14 16

4 6 13 20 22

MATLAB 328

10 12 19 21 3

11 18 25 2 9

B = [1 2 1;0 2 0;3 1 3]

B =

1 2 1

0 2 0

3 1 3

C = conv2(A,B)

C =

17 58 66 34 32 38 15

23 85 88 35 67 76 16

55 149 117 163 159 135 67

79 78 160 161 187 129 51

23 82 153 199 205 108 75

30 68 135 168 91 84 9

33 65 126 85 104 15 27

:

filter2

18.convmtx2

:

.

:

T = convmtx2(H,m,n)

T = convmtx2(H,[m n])

:

conv2

19.convn

: n.

:

C = convn(A,B)

C = convn(A,B,shape)

:

conv2

20.corr2

:

.

MATLAB 329

:

r = corr2(A,B)

:

std2

21.dct2

:

.

:

B = dct2(A)

B = dct2(A,m,n)

B = dct2(A,[m n])

RGB = imread('autumn.tif');

I = rgb2gray(RGB);

J = dct2(I);

imshow(log(abs(J)),[]), colormap(jet(64)), colorbar

J(abs(J) < 10) = 0;

K = idct2(J)/255;

imshow(K)

:

fft2, idct2, ifft2

1. Matlab Matlab fftfft2 fftn N DFT ifftifft2 ifftn DFT Afft(X,N,DIM) X N X Matlab X N DIM Afft2(X,MROWS,NCOLS) MROWS NCOLS X X Afftn(X,SIZE)SIZE X ifftifft2 ifftn% Iimread('lena.bmp');imshow(I)% J=fftshift(fft2(I));figure;imshow(log(abs(J)),[8,10])2. Matlab 2.1. dct2 DCT B=dct2(A) B=dct2(A,m,n) B=dct2(A,[m,n]) Bdct2(A) A DCT B A B Bdct2(A,m,n) B=dct2(A,[m,n]) A 0 B mn2.2. dict2 DCT B=idct2(A) B=idct2(A,m,n) B=idct2(A,[m,n]) Bidct2(A) A DCT B A B Bidct2(A,m,n) B=idct2(A,[m,n]) A 0 B mn2.3. dctmtx DCT Ddctmtx(n)Ddctmtx(n) nn DCT D double 3. Matlab 3.1 Matlab (1) dwt [cA,cD]=dwt(X,'wname') [cA,cD]=dwt(X,Lo_D,Hi_D)[cA,cD]=dwt(X,'wname') 'wname' X cAcD [cA,cD]=dwt(X,Lo_D,Hi_D) Lo_DHi_D (2) idwt X=idwt(cA,cD,'wname') X=idwt(cA,cD,Lo_R,Hi_R) X=idwt(cA,cD,'wname',L) X=idwt(cA,cD,Lo_R,Hi_R,L)X=idwt(cA,cD,'wname') cA cD X 'wname' X=idwt(cA,cD,Lo_R,Hi_R) Lo_R Hi_R X X=idwt(cA,cD,'wname',L) X=idwt(cA,cD,Lo_R,Hi_R,L) X L 3.2 Matlab ------------------------------------------------- --------------------------------------------------- dwt2 wavedec2 idwt2 waverec2 wrcoef2 upcoef2 detcoef2 appcoef2 upwlev2 dwtpet2 idwtper2 -------------------------------------------------------------(1) wcodemat Y=wcodemat(X,NB,OPT,ABSOL) Y=wcodemat(X,NB,OPT) Y=wcodemat(X,NB) Y=wcodemat(X)Y=wcodemat(X,NB,OPT,ABSOL) X Y NB 0NB NB16 OPT 'mat' OPT'row' OPT'col' OPT'mat' ABSOL '1' ABSOL0 ABSOL1 ABS(X)(2) dwt2 [cA,cH,cV,cD]=dwt2(X,'wname') [cA,cH,cV,cD]=dwt2(X,Lo_D,Hi_D)[cA,cH,cV,cD]=dwt2(X,'wname') 'wname' X cAcH,cV,cD [cA,cH,cV,cD]=dwt2(X,Lo_D,Hi_D) Lo_D Hi_D X (3) wavedec2 [C,S]=wavedec2(X,N,'wname') [C,S]=wavedec2(X,N,Lo_D,Hi_D)[C,S]=wavedec2(X,N,'wname') 'wname' X N [C,S]=wavedec2(X,N,Lo_D,Hi_D) Lo_D Hi_D X (4) idwt2 X=idwt2(cA,cH,cV,cD,'wname') X=idwt2(cA,cH,cV,cD,Lo_R,Hi_R) X=idwt2(cA,cH,cV,cD,'wname',S) X=idwt2(cA,cH,cV,cD,Lo_R,Hi_R,S)X=idwt2(cA,cH,cV,cD,'wname') cA cHcHcVcD X X=idwt2(cA,cH,cV,cD,Lo_R,Hi_R) Lo_R Hi_R X X=idwt2(cA,cH,cV,cD,'wname',S) X=idwt2(cA,cH,cV,cD,Lo_R,Hi_R,S) S (5) waverec2 X=waverec2(C,S,'wname') X=waverec2(C,S,Lo_R,Hi_R)X=waverec2(C,S,'wname') CS X 'wname' X=waverec2(C,S,Lo_R,Hi_R) Lo_R Hi_R

| | MAXLCL | |

matlab2009-03-14 10:01A a

abs ASCII

acos

acosh

acot

acoth

acsc

acsch

align

all

angle

ans

any

area

argnames M

asec

asech

asin

asinh

assignin

atan

atan2

atanh

autumn

axes

axis

B b

bar

bar3

bar3h

barh

base2dec X

bin2dec

blanks

bone

box

break while for

brighten

C c

capture 3

cart2pol

cart2sph

cat

caxis

cd

cdedit

cdf2rdf

ceil

cell

cell2struct

celldisp

cellplot

char

chi2cdf

chi2inv

chi2pdf

chi2rnd

chol Cholesky

clabel

cla

class

clc

clear

clf

clock

colorcube

colordef

colormap

colspace

close

colperm

comet

comet3

compass

compose

cond

condeig

condest -1

conj

contour

contourf

contour3

contourslice

conv

cool

copper

cos

cosh

cot

coth

cplxpair

csc

csch

cumsum

cumtrapz

cylinder

D d

dblquad

deal

deblank

dec2base X

dec2bin

dec2hex

deconv

delaunay Delaunay

del2 Laplacian

demo Matlab

det

diag

diary Matlab

diff

digits

dir

disp

display

dlinmod

dmperm Dulmage-Mendelsohn

dos DOS

double

drawnow Matlab

dsolve

E e

echo M

edit M

eig

eigs

end FOR

eps

error

errortrap

erf

erfc

erfcx

erfinv

errorbar

etreeplot

eval

evalin

exist

exit Matlab

exp

expand

expint

expm

expm1 Pade

expm2 Taylor

expm3

eye

ezcontour

ezcontourf

ezgraph3

ezmesh

ezmeshc

ezplot

ezplot3

ezpolar

ezsurf

ezsurfc

F f

factor

feather

feedback

feval

fft Fourier

fft2 Fourier

fftn Fourier

fftshift

fieldnames

figure

fill3

find

findobj

findstr

findsym

finverse

fix

flag

fliplr

flipud

flipdim

floor

flops

flow Matlab

fmin

fminbnd

fmins

fminunc

fminsearch

fnder

fnint

fnval

fnplt

fopen

for for

format

fourier Fourier

fplot

fprintf

fread

fsolve

full

funm

funtool

fzero

G g

gamma

gammainc

gammaln

gca

gcbo ""

gcf

gco

geomean

get

getfield

getframe

ginput

global

gplot

gradient

gray

grid

griddata

gtext

guide

H h

harmmean

help

helpwin

helpdesk

hex2dec

hex2num

hidden

hilb Hilbert

hist

histc

histfit

hold

horner

hot

hsv

I i

if-else-elseif

ifft Fourier

ifft2 Fourier

ifftn Fourier

ifftshift

ifourier Fourier

i, j ""

ilaplace Laplace

imag

image

imagesc

imfinfo

imread

imwrite

imwrite

ind2sub

inf

info MathWorks

inline

inmem

input

inputname

int

int2str

interp1

interp2

interp3

interpn N

interpft FFT

intro Matlab

inv

invhilb Hilbert

ipermute

isa

ischar

isequal

isempty

isfinite

isfield

isglobal

ishandle

ishold

isieee IEEE

isinf

isletter

islogical

ismember

isnan

isnumeric

isobject

isprime

isreal

isspace

issparse

isstruct

isstudent Matlab

iztrans Z

J j , K k

jacobian Jacobian

jet

jordan Jordan

keyboard

kron Kronecker

L l

laplace Laplace

lasterr

lastwarn

leastsq

legend

lighting

line

lines plot

linmod

linmod2

linspace

ln

load MAT

log

log10

log2 2

loglog

logm

logspace

lookfor M

lower

lsqnonlin

lu LU

M m

mad

magic

maple &nb, sp; Maple

mat2str

material

max

mbuild EXE

mcc MEXEXE

mean

median

menuedit

mesh

meshz

meshgrid ""

methods

mex MEX

mfunlis mfunMAPLE

mhelp Maple

min

mkdir

mkpp

mod

more

movie

moviein

mtaylor Taylor

N n

ndims

NaN

nargchk

nargin

nargout

ndgrid

newplot

nextpow2 2

nnz

nonzeros

norm

normcdf

normest 2

norminv

normpdf

normrnd

notebook MatlabWord

null

num2str

numden

nzmax

O o

ode1 Stiff

ode15s Stiff

ode23t Stiff

ode23tb Stiff

ode45 Stiff

odefile ODE

odeget ODE

odephas2 ODE

odephas3 ODE

odeplot ODE

odeprint Matlab

odeset ODE

ones 1

optimset

orient

orth

P p

pack Matlab

pagedlg

patch

path Matlab

pathtool

pause

pcode P

pcolor

peaks Matlab

permute

pi

pie

pie3

pink

pinv

plot

plot3

plotmatrix

plotyy

poissinv

poissrnd

pol2cart

polar

poly

poly2str

poly2sym

polyder

polyfit

polyval

polyvalm

pow2 2

ppval

pretty

print SIMULINK

printsys

prism

procread MAPLE

profile

propedit

pwd

Q q

quad

quad8 (QUADL)

quit Matlab

quiver

quiver3

R r

rand

randn

randperm

range

rank

rats

rcond

real

reallog

realpow

realsqrt

realmax

realmin

rectangle ""

rem

repmat

reshape

residue

return

ribbon

rmfield

roots

rose

rot90 90

rotate

rotate3d

round

rref

rsf2csf

rsums Riemann

S s

save

scatter

scatter3

sec

sech

semilogx X

semilogy Y

series

set

setfield

setstr ASCII

sign

signum

sim SIMULINK

simget SIMULINK

simple

simplify

simset SIMULINK

simulink SIMULINK

sin

sinh

size

slice

solve

spalloc

sparse

spconvert

spdiags

spfun

sph2cart

sphere

spinmap

spline

spones 1

sprandsym

sprank

spring

sprintf

spy

sqrt

sqrtm

squeeze 1""

sscanf

stairs

std

stem

step

str2double

str2mat

str2num

strcat

strcmp

strjust

strmatch

strncmp

strrep

strtok

struct

struct2cell

strvcat

sub2ind

subexpr

subplot

subs

subspace

sum

summer

superiorto

surf

surface

surfc

surfl

surfnorm

svd

svds

switch-case-otherwise

sym2poly

symmmd

symrcm Cuthill-McKee

syms

T t

tan

tanh

taylortool Taylor

text

tf

tic

title

toc

trapz

treelayout

treeplot

tril

trim

trimesh

trisurf triu try-catch Try-catch type M

U u

uicontextmenu

uicontrol

uimenu

unmkpp

unwrap

upper

V v

var

varargin

varargout

vectorize

ver

view

voronoi Voronoi

vpa

W w

warning

what

whatsnew Matlab Readme

which

while While

white

whitebg

who

whos

winter

workspace

X x , Y y , Z z

xlabel X

xor

yesinput

ylabel Y

zeros

zlabel Z

zoom

ztrans Z

http://blog.sina.com.cn/s/blog_59ad64b90100aee9.html

Matlab | | (127) | (1) More Effective C++... matlab matlab (1)

Matlab(1) MATLAB(...

matlab2 MATLAB(...

Matlab num2cell MatlabVBDLL

matlabs matlab

>>

jiahao1889 yjnanli lskansx 329988869

1

329988869 2009-03-18 18:54 |

| *50

()

?

|

|

http://blog.pfan.cn/liangdas

GIS

matlab

GIS

RS

matlab(2009-3-15 22:54:00)

.

1. imread

imreada=imread('e:\w01.tif')

Ew01.tif

2. imwrite

imwriteimwrite(a,'e:\w02.tif',tif)

3. imfinfo

imfinfoimfinfo('e:\w01.tif')

.

1. image

imageMATLAB

a=[1,2,3,4;4,5,6,7;8,9,10,11,12];

image(a);

2. imshow

imshow

i=imread('e:\w01.tif');

imshow(i);

3. colorbar

colorbar caxis [cmin,cmax]=caxismesh(peaks) peakscaxis[-6.54668.0752]Z


imshow(i);

colorbar;

4 .figurefigurefigure(1) /figure(2)

5.imagesc(a); caxis([-3 8]) ; colorbar; -38

.

1. fft2

fft2


j=fft2(i);

2. ifft2

ifft2


j=fft2(i);

k=ifft2(j);

3. fft2

fft2,:

a=[8,1,6;3,5,7;4,9,2];

b=[1,1,1;1,1,1;1,1,1];

a(8,8)=0;

b(8,8)=0;

c=ifft2(fft2(a).*fft2(b));

c=c(1:5,1:5);

conv2(),

a=[8,1,6;3,5,7;4,9,2];

b=[1,1,1;1,1,1;1,1,1];

c=conv2(a,b);

.

1. imnoise

imnoise


j=imnoise(i,'gaussian',0,0.02);%

2. fspecial

fspecial

h=fspecial('sobel');%sobel

h=fspecial('gaussian');%

h=fspecial('laplacian');%

h=fspecial('log');%LoG

h=fspecial('average');%

.

1.

imhist


imhist(i);

2.

histeq


j=histeq(i);

3.

imadjust


j=imadjust(i,[0.3,0.7],[]);

4.

log


j=double(i);

k=log(j);

5.

filter2


h=[1,2,1;0,0,0;-1,-2,-1];

j=filter2(h,i);

6.

conv2, :


h=[1,1,1;1,1,1;1,1,1];

h=h/9;

j=conv2(i,h);

7.

medfilt2


j=medfilt2(i);

8.

1Sobel, :


h=[1,2,1;0,0,0;-1,-2,-1];%Sobel

j=filter2(h,i);

2, :


j=double(i);

h=[0,1,0;1,-4,0;0,1,0];%

k=conv2(j,h,'same');

m=j-k;

.


figure(1);

imshow(i);

colorbar;

j=fft2(i);

k=fftshift(j);

figure(2);

l=log(abs(k));

imshow(l,[]);

colorbar

n=ifft2(j)/255;

figure(3);

imshow(n);

colorbar;

1. Matlab Matlab fftfft2 fftn N DFT ifftifft2 ifftn DFT Afft(X,N,DIM) X N X Matlab X N DIM

Afft2(X,MROWS,NCOLS) MROWS NCOLS X X

Afftn(X,SIZE)SIZE X

ifftifft2 ifftn

% Iimread('lena.bmp');imshow(I)% J=fftshift(fft2(I));figure;imshow(log(abs(J)),[8,10])

2. Matlab

2.1. dct2 DCT B=dct2(A) B=dct2(A,m,n) B=dct2(A,[m,n]) Bdct2(A) A DCT B A B Bdct2(A,m,n) B=dct2(A,[m,n]) A 0 B mn

2.2. dict2 DCT B=idct2(A) B=idct2(A,m,n) B=idct2(A,[m,n]) Bidct2(A) A DCT B A B Bidct2(A,m,n) B=idct2(A,[m,n]) A 0 B mn

2.3. dctmtx DCT Ddctmtx(n)Ddctmtx(n) nn DCT D double

3. Matlab

3.1 Matlab (1) dwt [cA,cD]=dwt(X,'wname') [cA,cD]=dwt(X,Lo_D,Hi_D)[cA,cD]=dwt(X,'wname') 'wname' X cAcD [cA,cD]=dwt(X,Lo_D,Hi_D) Lo_DHi_D (2) idwt X=idwt(cA,cD,'wname') X=idwt(cA,cD,Lo_R,Hi_R) X=idwt(cA,cD,'wname',L) X=idwt(cA,cD,Lo_R,Hi_R,L)X=idwt(cA,cD,'wname') cA cD X 'wname' X=idwt(cA,cD,Lo_R,Hi_R) Lo_R Hi_R X X=idwt(cA,cD,'wname',L) X=idwt(cA,cD,Lo_R,Hi_R,L) X L

3.2 Matlab

------------------------------------------------- --------------------------------------------------- dwt2 wavedec2 idwt2 waverec2 wrcoef2 upcoef2 detcoef2 appcoef2 upwlev2 dwtpet2 idwtper2 -------------------------------------------------------------

(1) wcodemat Y=wcodemat(X,NB,OPT,ABSOL) Y=wcodemat(X,NB,OPT) Y=wcodemat(X,NB) Y=wcodemat(X)Y=wcodemat(X,NB,OPT,ABSOL) X Y NB 0NB NB16 OPT 'mat' OPT'row' OPT'col' OPT'mat' ABSOL '1' ABSOL0 ABSOL1 ABS(X)

(2) dwt2 [cA,cH,cV,cD]=dwt2(X,'wname') [cA,cH,cV,cD]=dwt2(X,Lo_D,Hi_D)[cA,cH,cV,cD]=dwt2(X,'wname') 'wname' X cAcH,cV,cD [cA,cH,cV,cD]=dwt2(X,Lo_D,Hi_D) Lo_D Hi_D X

(3) wavedec2 [C,S]=wavedec2(X,N,'wname') [C,S]=wavedec2(X,N,Lo_D,Hi_D)[C,S]=wavedec2(X,N,'wname') 'wname' X N [C,S]=wavedec2(X,N,Lo_D,Hi_D) Lo_D Hi_D X

(4) idwt2 X=idwt2(cA,cH,cV,cD,'wname') X=idwt2(cA,cH,cV,cD,Lo_R,Hi_R) X=idwt2(cA,cH,cV,cD,'wname',S) X=idwt2(cA,cH,cV,cD,Lo_R,Hi_R,S)X=idwt2(cA,cH,cV,cD,'wname') cA cHcHcVcD X X=idwt2(cA,cH,cV,cD,Lo_R,Hi_R) Lo_R Hi_R X X=idwt2(cA,cH,cV,cD,'wname',S) X=idwt2(cA,cH,cV,cD,Lo_R,Hi_R,S) S

(5) waverec2 X=waverec2(C,S,'wname') X=waverec2(C,S,Lo_R,Hi_R)X=waverec2(C,S,'wname') CS X 'wname' X=waverec2(C,S,Lo_R,Hi_R) Lo_R Hi_R 1. MATLAB(double)64MATLAB(uint8)1 MATLABuint8double uint8double --------------------------------------------- MATLAB --------------------------------------------- B=double(A)+1 B=double(A)/255 B=double(A) ---------------------------------------------

doubleuint8 --------------------------------------------- MATLAB --------------------------------------------- B=uint8(round(A-1)) B=uint8(round(A*255)) B=logical(uint8(round(A))) ---------------------------------------------

2.

2.1 RGB(100,50)(100,50,1:3) [0,1][0,255] 2.2 33 MATLAB[0,1]01 RGB -------------------------------------------- R G B R G B -------------------------------------------- 0 0 1 1 0 1 1 1 1 0 1 1 1 0 0 0.67 0 1 0 1 0 1 0.5 0 0 0 1 0.5 0 0 1 1 0 0.5 0.5 0.5 -------------------------------------------- ------------------------------------------------- ------------------------------------------------- Hsv Hot Cool Pink Gray Bone Jet Hsv Copper Prim Flag -------------------------------------------------- 643 doubleuint8 double1122 uint8012

2.3 double[01]uint8[0,255]

2.4 uint8double MATLABuint8

2.5 MATLAB 44 cat() Acat(4,A1,A2,A3,A4,A5)

3. MATLAB --------------------------------------------------------------------------- --------------------------------------------------------------------------- dither gray2ind grayslice im2bw ind2gray ind2rgb mat2gray rgb2gray rgb2ind ----------------------------------------------------------------------------

4.

4.1 imread()

A=imread(filename,fmt) [X,map]=imread(filename,fmt) [...]=imread(filename) [...]=imread(filename,idx) TIF [...]=imread(filename,ref) HDF

8bitMatlabuint8Matlab16bitPNGTIFMatlabuint16

uint8uint16imread

4.2 imwrite

imwrite(A,filename,fmt) imwrite(X,map,filename,fmt) imwrite(...,filename) imwrite(...,parameter,value)

imwriteMatlabuint8

4.3 imfinfo()

5.

5.1

image(X) colormap(map)

imshow(X,map)

5.2 Matlab 7.0 imshow imagesc imagescale

(1) imshow imshow(I) imshow(I,32) Matlab imshow(I,[low,high]) low high

(2) imagesc imagesc imagesc(1,[0,1]); colormap(gray); imagesc 01

imagesc

5.3 RGB (1) image(RGB) RGBdouble uint8 uint16 Matlab image

RGB8 = uint8(round(RGB64255)); double uint8 RGB64 = double(RGB8)/255; uint8 double RGB16 = uint16(round(RGB6465535)); double uint16 RGB64 = double(RGB16)/65535; uint16 double

(2) imshow(RGB) mn3

5.4

(1) imshow(BW) Matlab 7.0 0 1 0 1 NOT(~) 0 1 imshow(~BW)

(2) uint8 0 1 imshow(BW,[1 0 0;0 0 1])

5.5 imshow filename filename

imshow Matlab 7.0 getimage rgb getimage;

Matlab MATLAB

Matlab

1MATLAB2MATLAB3MATLAB MATLAB

MATLABMATLAB

(toolbox)MATLAB

Toolbox

MATLABImage Processing Toolbox1MATLAB MATLABMatrix Laboratory

MATLAB

MATLAB

MN

MATLABMATLABMATLABRGBBMPGIF

HDFJPEGPCXPNGTIFFXWDCURICOMATLAB

Image Processing Toolbox

2MATLAB MATLAB

CC

x=4:6%461x = 4 5 6xA>> A=[x-3;x;x+3] %AA = 1 2 3 4 5 6 7 8 9AC>> C=A(1:2,2:3)C = 2 3 5 6A >> A(2,2)=0A = 1 2 3 4 0 6 7 8 9A1A(:,1)=1A = 1 2 3 1 0 6 1 8 9A=eye(2) %A = 1 0 0 1>> B=[1,2;3,4] %B = 1 2 3 4>> A+B%ABans = 2 2 3 5>> A.*B %ABans = 1 0 0 4>> A*B %ABABans = 1 2 3 4EimpMATLAB

File----Set Path----Tool---Add Path3MATLABA imread imread [XMAP]=imread(filename,fmt)XMAPfmtfilename

[XMAP]=imreadflowers.tif,tif;B imwriteimwriteimwrite(X,map,filename,fmt)fmtXmapfilenameC imfinfoimfinfoimfinfo(filename,fmt)imfinfoinfo

imfinfo('rice.tif')ans = Filename: 'C:\MATLAB6p5\toolbox\images\imdemos\rice.tif' FileModDate: '26-Oct-1996 06:11:58' FileSize: 65966 Format: 'tif' FormatVersion: [] Width: 256 Height: 256 BitDepth: 8 ColorType: 'grayscale' FormatSignature: [73 73 42 0] ByteOrder: 'little-endian' NewSubfileType: 0 BitsPerSample: 8 Compression: 'Uncompressed'PhotometricInterpretation: 'BlackIsZero' StripOffsets: [8x1 double] SamplesPerPixel: 1 RowsPerStrip: 32 StripByteCounts: [8x1 double] XResolution: 72 YResolution: 72 ResolutionUnit: 'Inch' Colormap: [] PlanarConfiguration: 'Chunky' TileWidth: [] TileLength: [] TileOffsets: [] TileByteCounts: [] Orientation: 1 FillOrder: 1GrayResponseUnit: 0.0100 MaxSamplevalue: 255 MinSamplevalue: 0 Thresholding: 1ImageDescription: [1x166 char]4MATLABimshowimshowimshow(X,map)Xmap[]

mapfigureI=imread(rice.tif);Imshow(I);J=imread(flowers.tif);figure,imshow(J);5MATLABMATLABimhistimhistimhist(I,n)imhist(X,map)imhist(I,n)In256imhist(X,map)

XmapI = imread('rice.tif');imshow(I)figure, imhist(I)6 f(x,y)[mM]g(x,y)[nN]

MATLABimadjustImadjust

J = imadjust(I,[low_in high_in],[low_out high_out])J = imadjust(I,[low_in high_in],[low_out high_out])IJ

[low_in high_in][low_out high_out]I = imread('pout.tif');J = imadjust(I,[0.3 0.7],[]);imshow(I), figure, imshow(J)copygirl1.bmpgirl2.bmpMATLABwork1 MATLABworkgirl.bmp.imreadimfinfo

MATLABimshow

map2 MATLABworkgirl2.bmp

imadjust[01]

Matlab

MTLAB MATLAB MATLAB MATLAB,,,,

.B(x,y)=f(A(x,y)).,,.

C(x,y)=A(x,y)+B(x,y)C(x,y)=A(x,y)-B(x,y)C(x,y)=A(x,y)*B(x,y)C(x,y)=A(x,y)/B(x,y) A(x,y)B(x,y)C(x,y)

MATLABA(x,y)B(x,y)

C(x,y)

MM

(x,y)

MATLAB

224

44

MATLABimresize3

ImresizeB = imresize(A,m,method) method'nearest''bilinear'

'bicubic''nearest'B = imresize(A,m,method)Amm1 1 MATLABimnoiseimnoiseJ = imnoise(I,type)J = imnoise(I,type,parameters)J = imnoise(I,type)IJtypeparameterseight.tifI=imread('eight.tif');J1=imnoise(I,'gaussian',0,0.02);J2=imnoise(I,'salt & pepper',0.02);J3=imnoise(I,'speckle',0.02);subplot(2,2,1),imshow(I),title('');subplot(2,2,2),imshow(J1),title('');subplot(2,2,3),imshow(J2),title('');subplot(2,2,4),imshow(J3),title(''); subplot

subplot(m,n,p) mnp MATLAB

MATLABFOR

MATLABFOR ENDfor endfor variable = expressionstatementsend%forfor i=1:10;y(i)=i;end;y %yy = 1 2 3 4 5 6 7 8 910 for

fory1MATLABy

fory=zeros(1,10);for i=1:10;y(i)=i;end;y unit8MATLAB

double

MATLAB im2double I2 = im2double(I1) I1unit8unit16I2double

.

00.02%[I,M]=imread('eight.tif');J=imnoise(I,'gaussian',0,0.02);subplot(1,2,1),imshow(I,M),title('');subplot(1,2,2),imshow(J,M),title('');K=zeros(242,308);for i=1:100J=imnoise(I,'gaussian',0,0.02);J1=im2double(J);K=K+J1;endK=K/100; %figure;imshow(K),title('');2ImresizeB = imresize(A,m,method)method'nearest''bilinear'

'bicubic''nearest'B = imresize(A,m,method)Amm1I=imread('ic.tif');J = imresize(I,1.25);imshow(I),title('')figure,imshow(J),title('') imrotate

Imrotate B = imrotate(A,angle,method imrotatemethod'nearest'

'bilinear''bicubic''nearest'

0I=imread('rice.tif');J=imrotate(I,30,'bilinear');imshow(I);title('')figure,imshow(J),title('') 1 girl.bmp,2 3 for100,4 1.50.845

5

12MATLABFFT3MATLAB1

fx,yu=0,1M-1v=0,1N-1(1) x=0,1M-1y=0,1N-13 Fp,qfm,nfm,n

w1w2Fw1w2fm,n10. fm,nfm,n2MATLAB1fft2fft2B = fft2(I)B = fft2(I)IfftIBload imdemos saturn2imshow(saturn2)B = fftshift(fft2(saturn2));imshow(log(abs(B)),[],'notruesize')2fftshiftMATLABfftshift

B = fftshift(I)IB = fftshift(I)I2ifft2ifft2B = ifft2(I)B = ifft2(A)IIB

fft2fft23

ButterworthELPF

10128*128H=zeros(128);H(32:96,32:96)=1; % IB(fftshift)

LOWPASS=B.*H; %LOWPASSC=ifft2(LOWPASS);Imshow(abs(C))1 girl.bmp

2

2

123MATLAB1 (m,n)02f(m,n)

2

1

2

58090200

110120110110

200110200

MATLABconv2C = conv2(A,B)C = conv2(A,B)ABCAmanaBmbnbC

(ma+mb+1)(na+nb+1)A=magic(5)A =17 241 81523 5 714 164 61320 22 1012 1921 31118 25 2 9>> B=[1 2 1 ;0 2 0;3 1 3]B = 1 2 1 0 2 0 3 1 3>> C=conv2(A,B)C =1758 663432 38152385 883567 761655 149 117 163 159 135677978 160 161 187 129512382 153 199 205 108753068 135 16891 84 93365 12685 104 1527MATLABfilter2filter2Y = filter2(h,X)Y = filter2(h,X)XhYXfilter2conv2MATLABfilter2180conv2

Fspecialh = fspecial(type)h = fspecial(type,parameters)typeparameterstype='average'n[3,3]type= 'gaussian'n[3,3]sigma

0.5type= 'laplacian'alpha[0,1]

0.2type= 'log'n[3,3]sigma

0.5type= 'prewitt'prewitttype= 'sobel'sobeltype= 'unsharp'alpha[0,1]

0.2MATLABmedfilt2Medfilt2B = medfilt2(A) 33AB = medfilt2(A,[m n]) mnA

Matlab

g(i,j),XEBBs

B0 , 0BsB180 MatlabimdilateImdilate(X,SE).XSE:bw = imread('text.tif');se = strel('line',11,90);bw2 = imdilate(bw,se);imshow(bw), title('Original')figure, imshow(bw2), title('Dilated')Matlabimerode:Imerode(X,SE).XSE:I = imread('cameraman.tif');se = strel('ball',5,5);I2 = imerode(I,se);imshow(I), title('Original')figure, imshow(I2), title('Eroded')1 2 3

123MATLAB

xy

;

f

RobertsSobel Sobel

loG

Zero Crossing

0

MATLABedgeBW = edge(I,'sobel')BW = edge(I,'sobel',direction)BW = edge(I,'roberts')BW = edge(I,'log')BW = edge(I,'sobel')SobelBW = edge(I,'sobel',direction)

direction=horizontaldirection=verticaldirection=bothBW = edge(I,'roberts')BW = edge(I,'log')Roberts

I=imread('eight.tif');imshow(I)BW1=edge(I,'roberts');figure ,imshow(BW1),title('Roberts')BW2=edge(I,'sobel');figure,imshow(BW2),title('Sobel ')BW3=edge(I,'log');figure,imshow(BW3),title('')1MATLABrice.tif2 Roberts,Sobel

1 2 Matlab 1 RLERun Length Encoding

aabbbcddddd2a3b1c5d2 Huffman

P(x2)=0.3

3.

Matlab

MATLAB

1 (General Purpose Commands)

1.1 (General information)

1.2 (Managing the workspace)

1.3 (Managing commands and functions)

1.4 (Managing the seach patli)

1.5 (Controlling the command window)

1.6 (Operating system commands)

2 (Operators and special characters)

2.1 (Arithmetic operators)

2.2 (Relational operators)

2.3 (Logical operators)

2.4 (Special characters)

3 (Programming language constructs)

3.1 (Control flow)

3.2 (Evaluation and execution)

3.3 (Scripts,function,and variables)

3.4 (Augument handling)

3.5 (Message display)

3.6 (Interactive input)

4 (Elementary matrices and matrix manipulation)

4.1 (Elementary matrices)

4.2 (Basic array information)

4.3 (Matrix manipulateion)

4.4 (Special variables and constants)

4.5 (Specialized matrices)

5 (Elementary math functions)

5.1 (Trigonometric)

5.2 (Exponential)

5.3 (Complex)

5.4 (Rounding and remainder)

6 (Specialized math functions)

7 (Matrix functionsnumerical linear algebra)

7.1 (Matrix analysis)

7.2 (Linear equations)

7.3 (Eigenvalues and singular values)

7.4 (Matrix functions)

7.5 (Factorization utility)

8 (Date analysis and Fourier transforms)

8.1 (Basic operations)

8.2 (Finite differentces)

8.3 (Correlation)

8.4 (Filtering and convoluteion)

8.5 (Fourier transforms)

9 (Audio support)

9.1 (Audio hardware drivers)

9.2 (Audio file import and export)

9.3 (Utilities)

10 (Interpolation and polynomials)

10.1 (Data Interpolation)

10.2 (Spline Interpolation)

10.3 (Polynomials)

11 ODE (Function functions and ODE solvers)

11.1 (Optimization and root finding)

11.2 (Optimization Option handling)

11.3 (Numerical intergration)

11.4 (Plotting)

11.5 (Inline function object)

11.6 (Differential equation solvers)

12 (Two dimensional graphs)

12.1 (Elementary XY graphs)

12.2 (Axis control)

12.3 (Graph annotation)

12.4 (Hardcopy and printing)

13 (Three dimensional graphs)

13.1 (Elementary 3D plots)

13.2 (Color control)

13.3 (Lighting)

13.4 (Color maps)

13.5 (Axis control)

13.6 (Viewpoint control)

13.7 (Graph annotation)

13.8 (Hardcopy and printing)

14 (Specialized graphs)

14.1 (Specialized 2D graphs)

14.2 (Contour and 21/2D graphs)

14.3 Specialized 3D graphs

14.4 (Volume and vector visualization)

14.5 (Image display and file I/O)

14.6 (Movies and animation)

14.7 (Color related function)

14.8 (Solid modeling)

15 (Handle Graphics)

15.1 (Figure window creation and control)

15.2 (Axis creation and control)

15.3 (Handle Graphics objects)

15.4 (Handle Graphics operations)

15.5 (Utilities)

16 (Graphical user interface tools)

17 (Character string)

17.1 (General)

17.2 (String tests)

17.3 (String operations)

18 /(File input/output)

19 (Time and dates)

20 (Data types and structures)

20.1 (Data types)

20.2 (Multidimensional array functions)

20.3 (Cell array functions)

20.4 (Structure functions)

20.5 (Function handle functions)

20.6 (Object oriented programming functions)

21 (E xamples and demonstrations)

22 (Symbolic Math Toolbox)

22.1 (Calculus)

22.2 (Linear Algebra)

22.3 (Simplification)

22.4 (Solution of Equation)

22.5 (Variable Precision Arithmetic)

22.6 (Integral Transforms)

22.7 (Conversions)

22.8 (Basic Operation)

22.9 (String handling utilities)

22.10 (Pedagogical and Graphical Applications)

22.11 Maple (Access to Maple)

23

1. Matlab Matlab fftfft2 fftn N DFT ifftifft2 ifftn DFT Afft(X,N,DIM) X N X Matlab X N DIM Afft2(X,MROWS,NCOLS) MROWS NCOLS X X Afftn(X,SIZE)SIZE X ifftifft2 ifftn% Iimread('lena.bmp');imshow(I)% J=fftshift(fft2(I));figure;imshow(log(abs(J)),[8,10])2. Matlab 2.1. dct2 DCT B=dct2(A) B=dct2(A,m,n) B=dct2(A,[m,n]) Bdct2(A) A DCT B A B Bdct2(A,m,n) B=dct2(A,[m,n]) A 0 B mn2.2. dict2 DCT B=idct2(A) B=idct2(A,m,n) B=idct2(A,[m,n]) Bidct2(A) A DCT B A B Bidct2(A,m,n) B=idct2(A,[m,n]) A 0 B mn2.3. dctmtx DCT Ddctmtx(n)Ddctmtx(n) nn DCT D double 3. Matlab 3.1 Matlab (1) dwt [cA,cD]=dwt(X,'wname') [cA,cD]=dwt(X,Lo_D,Hi_D)[cA,cD]=dwt(X,'wname') 'wname' X cAcD [cA,cD]=dwt(X,Lo_D,Hi_D) Lo_DHi_D (2) idwt X=idwt(cA,cD,'wname') X=idwt(cA,cD,Lo_R,Hi_R) X=idwt(cA,cD,'wname',L) X=idwt(cA,cD,Lo_R,Hi_R,L)X=idwt(cA,cD,'wname') cA cD X 'wname' X=idwt(cA,cD,Lo_R,Hi_R) Lo_R Hi_R X X=idwt(cA,cD,'wname',L) X=idwt(cA,cD,Lo_R,Hi_R,L) X L 3.2 Matlab ------------------------------------------------- --------------------------------------------------- dwt2 wavedec2 idwt2 waverec2 wrcoef2 upcoef2 detcoef2 appcoef2 upwlev2 dwtpet2 idwtper2 -------------------------------------------------------------(1) wcodemat Y=wcodemat(X,NB,OPT,ABSOL) Y=wcodemat(X,NB,OPT) Y=wcodemat(X,NB) Y=wcodemat(X)Y=wcodemat(X,NB,OPT,ABSOL) X Y NB 0NB NB16 OPT 'mat' OPT'row' OPT'col' OPT'mat' ABSOL '1' ABSOL0 ABSOL1 ABS(X)(2) dwt2 [cA,cH,cV,cD]=dwt2(X,'wname') [cA,cH,cV,cD]=dwt2(X,Lo_D,Hi_D)[cA,cH,cV,cD]=dwt2(X,'wname') 'wname' X cAcH,cV,cD [cA,cH,cV,cD]=dwt2(X,Lo_D,Hi_D) Lo_D Hi_D X (3) wavedec2 [C,S]=wavedec2(X,N,'wname') [C,S]=wavedec2(X,N,Lo_D,Hi_D)[C,S]=wavedec2(X,N,'wname') 'wname' X N [C,S]=wavedec2(X,N,Lo_D,Hi_D) Lo_D Hi_D X (4) idwt2 X=idwt2(cA,cH,cV,cD,'wname') X=idwt2(cA,cH,cV,cD,Lo_R,Hi_R) X=idwt2(cA,cH,cV,cD,'wname',S) X=idwt2(cA,cH,cV,cD,Lo_R,Hi_R,S)X=idwt2(cA,cH,cV,cD,'wname') cA cHcHcVcD X X=idwt2(cA,cH,cV,cD,Lo_R,Hi_R) Lo_R Hi_R X X=idwt2(cA,cH,cV,cD,'wname',S) X=idwt2(cA,cH,cV,cD,Lo_R,Hi_R,S) S (5) waverec2 X=waverec2(C,S,'wname') X=waverec2(C,S,Lo_R,Hi_R)X=waverec2(C,S,'wname') CS X 'wname' X=waverec2(C,S,Lo_R,Hi_R) Lo_R Hi_R

1.

MATLAB(double)64

MATLAB(uint8)

1

MATLABuint8

double

uint8double

---------------------------------------------

MATLAB

---------------------------------------------

B=double(A)+1

B=double(A)/255

B=double(A)

---------------------------------------------

doubleuint8

---------------------------------------------

MATLAB

---------------------------------------------

B=uint8(round(A-1))

B=uint8(round(A*255))

B=logical(uint8(round(A)))

---------------------------------------------

2.

2.1

RGB(100,50)

(100,50,1:3)

[0,1]

[0,255]

2.2

3

3

MATLAB[0,1]01

RGB

--------------------------------------------

R G B R G B

--------------------------------------------

0 0 1 1 0 1

1 1 1 0 1 1

1 0 0 0.67 0 1

0 1 0 1 0.5 0

0 0 1 0.5 0 0

1 1 0 0.5 0.5 0.5

--------------------------------------------

-------------------------------------------------

-------------------------------------------------

Hsv

Hot

Cool

Pink

Gray

Bone

Jet Hsv

Copper

Prim

Flag

--------------------------------------------------

643

doubleuint8

double1122

uint8012

2.3

double[01]uint8[0,255]

2.4

uint8double

MATLABuint8

2.5

MATLAB

44

cat() Acat(4,A1,A2,A3,A4,A5)

3. MATLAB

---------------------------------------------------------------------------

---------------------------------------------------------------------------

dither

gray2ind

grayslice

im2bw

ind2gray

ind2rgb

mat2gray

rgb2gray

rgb2ind

----------------------------------------------------------------------------

4.

4.1

imread()

A=imread(filename,fmt)

[X,map]=imread(filename,fmt)

[...]=imread(filename)

[...]=imread(filename,idx) TIF

[...]=imread(filename,ref) HDF

8bitMatlab

uint8Matlab16bitPNGTIFMatlab

uint16

uint8uint16imread

4.2

imwrite

imwrite(A,filename,fmt)

imwrite(X,map,filename,fmt)

imwrite(...,filename)

imwrite(...,parameter,value)

imwriteMatlabuint8

4.3 imfinfo()

5.

5.1

image(X)

colormap(map)

imshow(X,map)

5.2

Matlab 7.0 imshow imagesc

imagescale

(1) imshow

imshow(I) imshow(I,32)

Matlab

imshow(I,[low,high])

low high

(2) imagesc

imagesc

imagesc(1,[0,1]);

colormap(gray);

imagesc 0

1

imagesc

5.3 RGB

(1) image(RGB)

RGBdouble uint8 uint16 Matlab

image

RGB8 = uint8(round(RGB64255)); double uint8

RGB64 = double(RGB8)/255; uint8 double

RGB16 = uint16(round(RGB6465535)); double uint16

RGB64 = double(RGB16)/65535; uint16 double

(2) imshow(RGB) mn3

5.4

(1) imshow(BW)

Matlab 7.0 0 1 0

1

NOT(~) 0 1

imshow(~BW)

(2) uint8

0 1

imshow(BW,[1 0 0;0 0 1])

5.5

imshow filename

filename

imshow

Matlab 7.0 getimage

rgb getimage;

[1] [2] [3]

2007

matlab7.0(IPT)

Image Display ()(9)

colorbar

Display color bar (MATLAB function)

image

Create and display image object (MATLAB function)

imagesc

Scale data and display as image (MATLAB function)

immovie

Make movie from multiframe indexed image

imshow

Display image in a MATLAB figure window

imtool

Display image in the Image Viewer

image tool

montage

Display multiple image frames as rectangular montage

subimage

Display multiple images in single figure

warp

Display image as texture-mapped surface

Image File I/O ()10

DICOMDigital Image Communication and MedicianmatlabDICOM

dicomanon

Anonymize a DICOM file

DICOM

dicomdict

Specify which DICOM data dictionary to use

DICOM

dicominfo

Read metadata from a DICOM message

DICOM

dicomread

Read a DICOM image

DICOM

dicomuid

Generate DICOM unique identifier

DICOM

dicomwrite

Write a DICOM image

DICOM

dicom-dict.txt

Text file containing DICOM data dictionary

DICOM

imfinfo

Return information about image file (MATLAB function)

imread

Read image file (MATLAB function)

imwrite

Write image file (MATLAB function)

Matlab MATLAB

Matlab

1MATLAB2MATLAB3MATLAB MATLAB

MATLABMATLAB

(toolbox)MATLAB

Toolbox

MATLABImage Processing Toolbox1MATLAB MATLABMatrix Laboratory

MATLAB

MATLAB

MN

MATLABMATLABMATLABRGBBMPGIF

HDFJPEGPCXPNGTIFFXWDCURICOMATLAB

Image Processing Toolbox

2MATLAB MATLAB

CC

x=4:6%461x = 4 5 6xA>> A=[x-3;x;x+3] %AA = 1 2 3 4 5 6 7 8 9AC>> C=A(1:2,2:3)C = 2 3 5 6A >> A(2,2)=0A = 1 2 3 4 0 6 7 8 9A1A(:,1)=1A = 1 2 3 1 0 6 1 8 9A=eye(2) %A = 1 0 0 1>> B=[1,2;3,4] %B = 1 2 3 4>> A+B%ABans = 2 2 3 5>> A.*B %ABans = 1 0 0 4>> A*B %ABABans = 1 2 3 4EimpMATLAB

File----Set Path----Tool---Add Path3MATLABA imread imread [XMAP]=imread(filename,fmt)XMAPfmtfilename

[XMAP]=imreadflowers.tif,tif;B imwriteimwriteimwrite(X,map,filename,fmt)fmtXmapfilenameC imfinfoimfinfoimfinfo(filename,fmt)imfinfoinfo

imfinfo('rice.tif')ans = Filename: 'C:\MATLAB6p5\toolbox\images\imdemos\rice.tif' FileModDate: '26-Oct-1996 06:11:58' FileSize: 65966 Format: 'tif' FormatVersion: [] Width: 256 Height: 256 BitDepth: 8 ColorType: 'grayscale' FormatSignature: [73 73 42 0] ByteOrder: 'little-endian' NewSubfileType: 0 BitsPerSample: 8 Compression: 'Uncompressed'PhotometricInterpretation: 'BlackIsZero' StripOffsets: [8x1 double] SamplesPerPixel: 1 RowsPerStrip: 32 StripByteCounts: [8x1 double] XResolution: 72 YResolution: 72 ResolutionUnit: 'Inch' Colormap: [] PlanarConfiguration: 'Chunky' TileWidth: [] TileLength: [] TileOffsets: [] TileByteCounts: [] Orientation: 1 FillOrder: 1GrayResponseUnit: 0.0100 MaxSamplevalue: 255 MinSamplevalue: 0 Thresholding: 1ImageDescription: [1x166 char]4MATLABimshowimshowimshow(X,map)Xmap[]

mapfigureI=imread(rice.tif);Imshow(I);J=imread(flowers.tif);figure,imshow(J);5MATLABMATLABimhistimhistimhist(I,n)imhist(X,map)imhist(I,n)In256imhist(X,map)

XmapI = imread('rice.tif');imshow(I)figure, imhist(I)6 f(x,y)[mM]g(x,y)[nN]

MATLABimadjustImadjust

J = imadjust(I,[low_in high_in],[low_out high_out])J = imadjust(I,[low_in high_in],[low_out high_out])IJ

[low_in high_in][low_out high_out]I = imread('pout.tif');J = imadjust(I,[0.3 0.7],[]);imshow(I), figure, imshow(J)copygirl1.bmpgirl2.bmpMATLABwork1 MATLABworkgirl.bmp.imreadimfinfo

MATLABimshow

map2 MATLABworkgirl2.bmp

imadjust[01]

Matlab

MTLAB MATLAB MATLAB MATLAB,,,,

.B(x,y)=f(A(x,y)).,,.

C(x,y)=A(x,y)+B(x,y)C(x,y)=A(x,y)-B(x,y)C(x,y)=A(x,y)*B(x,y)C(x,y)=A(x,y)/B(x,y) A(x,y)B(x,y)C(x,y)

MATLABA(x,y)B(x,y)

C(x,y)

MM

(x,y)

MATLAB

224

44

MATLABimresize3

ImresizeB = imresize(A,m,method) method'nearest''bilinear'

'bicubic''nearest'B = imresize(A,m,method)Amm1 1 MATLABimnoiseimnoiseJ = imnoise(I,type)J = imnoise(I,type,parameters)J = imnoise(I,type)IJtypeparameterseight.tifI=imread('eight.tif');J1=imnoise(I,'gaussian',0,0.02);J2=imnoise(I,'salt & pepper',0.02);J3=imnoise(I,'speckle',0.02);subplot(2,2,1),imshow(I),title('');subplot(2,2,2),imshow(J1),title('');subplot(2,2,3),imshow(J2),title('');subplot(2,2,4),imshow(J3),title(''); subplot

subplot(m,n,p) mnp MATLAB

MATLABFOR

MATLABFOR ENDfor endfor variable = expressionstatementsend%forfor i=1:10;y(i)=i;end;y %yy = 1 2 3 4 5 6 7 8 910 for

fory1MATLABy

fory=zeros(1,10);for i=1:10;y(i)=i;end;y unit8MATLAB

double

MATLAB im2double I2 = im2double(I1) I1unit8unit16I2double

.

00.02%[I,M]=imread('eight.tif');J=imnoise(I,'gaussian',0,0.02);subplot(1,2,1),imshow(I,M),title('');subplot(1,2,2),imshow(J,M),title('');K=zeros(242,308);for i=1:100J=imnoise(I,'gaussian',0,0.02);J1=im2double(J);K=K+J1;endK=K/100; %figure;imshow(K),title('');2ImresizeB = imresize(A,m,method)method'nearest''bilinear'

'bicubic''nearest'B = imresize(A,m,method)Amm1I=imread('ic.tif');J = imresize(I,1.25);imshow(I),title('')figure,imshow(J),title('') imrotate

Imrotate B = imrotate(A,angle,method imrotatemethod'nearest'

'bilinear''bicubic''nearest'

0I=imread('rice.tif');J=imrotate(I,30,'bilinear');imshow(I);title('')figure,imshow(J),title('') 1 girl.bmp,2 3 for100,4 1.50.845

5

12MATLABFFT3MATLAB1

fx,yu=0,1M-1v=0,1N-1(1) x=0,1M-1y=0,1N-13 Fp,qfm,nfm,n

w1w2Fw1w2fm,n10. fm,nfm,n2MATLAB1fft2fft2B = fft2(I)B = fft2(I)IfftIBload imdemos saturn2imshow(saturn2)B = fftshift(fft2(saturn2));imshow(log(abs(B)),[],'notruesize')2fftshiftMATLABfftshift

B = fftshift(I)IB = fftshift(I)I2ifft2ifft2B = ifft2(I)B = ifft2(A)IIB

fft2fft23

ButterworthELPF

10128*128H=zeros(128);H(32:96,32:96)=1; % IB(fftshift)

LOWPASS=B.*H; %LOWPASSC=ifft2(LOWPASS);Imshow(abs(C))1 girl.bmp

2

2

123MATLAB1 (m,n)02f(m,n)

2

1

2

58090200

110120110110

200110200

MATLABconv2C = conv2(A,B)C = conv2(A,B)ABCAmanaBmbnbC

(ma+mb+1)(na+nb+1)A=magic(5)A =17 241 81523 5 714 164 61320 22 1012 1921 31118 25 2 9>> B=[1 2 1 ;0 2 0;3 1 3]B = 1 2 1 0 2 0 3 1 3>> C=conv2(A,B)C =1758 663432 38152385 883567 761655 149 117 163 159 135677978 160 161 187 129512382 153 199 205 108753068 135 16891 84 93365 12685 104 1527MATLABfilter2filter2Y = filter2(h,X)Y = filter2(h,X)XhYXfilter2conv2MATLABfilter2180conv2

Fspecialh = fspecial(type)h = fspecial(type,parameters)typeparameterstype='average'n[3,3]type= 'gaussian'n[3,3]sigma

0.5type= 'laplacian'alpha[0,1]

0.2type= 'log'n[3,3]sigma

0.5type= 'prewitt'prewitttype= 'sobel'sobeltype= 'unsharp'alpha[0,1]

0.2MATLABmedfilt2Medfilt2B = medfilt2(A) 33AB = medfilt2(A,[m n]) mnA

Matlab

g(i,j),XEBBs

B0 , 0BsB180 MatlabimdilateImdilate(X,SE).XSE:bw = imread('text.tif');se = strel('line',11,90);bw2 = imdilate(bw,se);imshow(bw), title('Original')figure, imshow(bw2), title('Dilated')Matlabimerode:Imerode(X,SE).XSE:I = imread('cameraman.tif');se = strel('ball',5,5);I2 = imerode(I,se);imshow(I), title('Original')figure, imshow(I2), title('Eroded')1 2 3

123MATLAB

xy

;

f

RobertsSobel Sobel

loG

Zero Crossing

0

MATLABedgeBW = edge(I,'sobel')BW = edge(I,'sobel',direction)BW = edge(I,'roberts')BW = edge(I,'log')BW = edge(I,'sobel')SobelBW = edge(I,'sobel',direction)

direction=horizontaldirection=verticaldirection=bothBW = edge(I,'roberts')BW = edge(I,'log')Roberts

I=imread('eight.tif');imshow(I)BW1=edge(I,'roberts');figure ,imshow(BW1),title('Roberts')BW2=edge(I,'sobel');figure,imshow(BW2),title('Sobel ')BW3=edge(I,'log');figure,imshow(BW3),title('')1MATLABrice.tif2 Roberts,Sobel

1 2 Matlab 1 RLERun Length Encoding

aabbbcddddd2a3b1c5d2 Huffman

P(x2)=0.3

3.

Matlab

.1

-1

betapdf

binopdf

chi2pdf

exppdf

fpdf

f

gampdf

geopdf

hygepdf

normpdf

lognpdf

nbinpdf

ncfpdf

f

nctpdf

t

ncx2pdf

poisspdf

raylpdf

tpdf

t

unidpdf

unifpdf

weibpdf

-2

betacdf

binocdf

chi2cdf

expcdf

fcdf

f

gamcdf

geocdf

hygecdf

logncdf

nbincdf

ncfcdf

f

nctcdf

t

ncx2cdf

normcdf

poisscdf

raylcdf

tcdf

t

unidcdf

unifcdf

weibcdf

-3

betainv

binoinv

chi2inv

expinv

finv

f

gaminv

geoinv

hygeinv

logninv

nbininv

ncfinv

f

nctinv

t

ncx2inv

icdf

norminv

poissinv

raylinv

tinv

t

unidinv

unifinv

weibinv

-4

betarnd

binornd

chi2rnd

exprnd

frnd

f

gamrnd

geornd

hygernd

lognrnd

nbinrnd

ncfrnd

f

nctrnd

t

ncx2rnd

normrnd

poissrnd

raylrnd

trnd

t

unidrnd

unifrnd

weibrnd

-5

betastat

binostat

chi2stat

expstat

fstat

f

gamstat

geostat

hygestat

lognstat

nbinstat

ncfstat

f

nctstat

t

ncx2stat

normstat

poisstat

raylstat

tstat

t

unidstat

unifstat

weibstat

-6

betafit

betalike

binofit

expfit

gamfit

gamlike

mle

normlike

normfit

poissfit

unifit

weibfit

weiblike

-7

bootstrap

corrcoef

cov

crosstab

geomean

grpstats

harmmean

iqr

kurtosis

mad

mean

median

moment

nanmax

Nanmean

nanmedian

nanmin

nanstd

nansum

prctile

range

skewness

std

tabulate

trimmean

var

-8

boxplot

cdfplot

errorbar

fsurfht

gline

gname

gplotmatrix

gscatter

lsline

normplot

pareto

qqplot

Q-Q

rcoplot

refcurve

refline

surfht

weibplot

-9

capable

capaplot

ewmaplot

histfit

normspec

schart

S

xbarplot

x

-10

cluster

linkage

clusterdata

cophenet

Cophenet

dendrogram

inconsistent

linkage

pdist

squareform

zscore

Z

-11

anova1

anova2

anovan

aoctool

dummyvar

friedman

Friedman

glmfit

kruskalwallis

Kruskalwallis

leverage

lscov

manova1

manovacluster

multcompare

polyfit

polyval

polyconf

regress

regstats

Ridge

rstool

robustfit

stepwise

x2fx

-12

nlinfit

nlintool

nlparci

nlpredci

nnls

-13

cordexch

D-

daugment

D-

dcovary

D-

ff2n

fracfact

fullfact

hadamard

Hadamard

rowexch

D-

-14

barttest

Barttest

pcacov

pcares

princomp

-15

classify

mahal

manova1

manovacluster

-16

ranksum

signrank

signtest

ttest

t

ttest2

t

ztest

z

-17

jbtest

Jarque-Bera

kstest

Kolmogorov-Smirnov

kstest2

Kolmogorov-Smirnov

lillietest

Lilliefors

-18

friedman

Friedman

kruskalwallis

Kruskalwallis

ranksum

signrank

signtest

-19

caseread

casewrite

tblread

tblwrite

tdfread

-20

aoctool

disttool

GUI

glmdemo

randtool

polytool

rsmdemo

robustdemo

.2

-21

fgoalattain

fminbnd

fmincon

fminimax

fminsearch, fminunc

fseminf

linprog

quadprog

-22

\

fsolve

fzero

-23

\

lsqlin

lsqcurvefit

lsqnonlin

lsqnonneg

-24

optimset

optimget

-25

circustent

molecule

optdeblur

-26

bandemo

dfildemo

goaldemo

optdemo

tutdemo

.3

-27

csapi

csape

csaps

cscvn

getcurve

-28

pplst

M

ppmak

ppual

-29 B

splst

BM

spmak

B

spcrv

B

spapi

B

spap2

B

spaps

B

spcol

B

-30

rpmak

rsmak

-31

fnval

fmbrk

fncmb

fn2fm

fnder

()

fndir

fnint

fnjmp

fnplt

fnrfn

fntlr

tarylortaylor

-32

augknt

aveknt

brk2knt

knt2brk

knt2mlt

sorted

pointsmeshpoints

aptknt

-33

newknt

optknt

chbpnt

-34

slvblk

bkbrk

-35 GUI

bspligui

B

splinetool

.4

-36

adaptmesh

PDE

assema

assemb

assempde

PDE

hyperbolic

PDE

parabolic

PDE

pdeeig

PDE

pdenonlin

PDE

poisolv

-37

pdecirc

pdeellip

pdemdlcv

PDE1.0MPDE1.0.2

pdepoly

pderect

pdetool

PDEGUI

-38

csgchk

csgdel

decsg

initmesh

jigglemesh

pdearcl

poimesh

refinemesh

wbound

wgeom

-39

pdecont

pdegplot

PDE

pdemesh

PDE

pdeplot

PDE

pdesurf

-40

Dst idst

sin

pdeadgsc

pdeadworst

pdecgrad

PDE

pdeent

pdegrad

PDE

pdeintrp

pdejmps

pdeprtni

pdesde

pdesdp

pdesdt

pdesmech

pdetrg

pdetriq

Poiasma

poicalc

poiindex

sptarn

tri2grid

PDE

-41

pdebound

M

pdegeom

M

-42

pdedemo1

pdedemo2

pdedemo3

pdedemo4

PDE

pdedemo5

pdedemo6

PDE

pdedemo7

pdedemo8

A a

abs ASCII acos acosh acot acoth acsc acsch align all angle ans any area argnames M asec asech asin asinh assignin atan atan2 atanh autumn axes axis

B b

bar bar3 bar3h barh base2dec X bin2dec blanks bone box break while for brighten

C c

capture 3 cart2pol cart2sph cat caxis cd cdedit cdf2rdf ceil cell cell2struct celldisp cellplot char chi2cdf chi2inv chi2pdf chi2rnd chol Cholesky clabel cla class clc clear clf clock colorcube colordef colormap colspace close colperm comet comet3 compass compose cond condeig condest -1 conj contour contourf contour3 contourslice conv cool copper cos cosh cot coth cplxpair csc csch cumsum cumtrapz cylinder

D d

dblquad deal deblank dec2base X dec2bin dec2hex deconv delaunay Delaunay del2 Laplacian demo Matlab det diag diary Matlab diff digits dir disp display dlinmod dmperm Dulmage-Mendelsohn dos DOS double drawnow Matlab dsolve

E e

echo M edit M eig eigs end FOR eps error errortrap erf erfc erfcx erfinv errorbar etreeplot eval evalin exist exit Matlab exp expand expint expm expm1 Pade expm2 Taylor expm3 eye ezcontour ezcontourf ezgraph3 ezmesh ezmeshc ezplot ezplot3 ezpolar ezsurf ezsurfc

F f

factor feather feedback feval fft Fourier fft2 Fourier fftn Fourier fftshift fieldnames figure fill3 find findobj findstr findsym finverse fix flag fliplr flipud flipdim floor flops flow Matlab fmin fminbnd fmins fminunc fminsearch fnder fnint fnval fnplt fopen for for format fourier Fourier fplot fprintf fread fsolve full funm funtool fzero

G g

gamma gammainc gammaln gca gcbo "" gcf gco geomean get getfield getframe ginput global gplot gradient gray grid griddata gtext guide

H h

harmmean help helpwin helpdesk hex2dec hex2num hidden hilb Hilbert hist histc histfit hold horner hot hsv

I i

if-else-elseif ifft Fourier ifft2 Fourier ifftn Fourier ifftshift ifourier Fourier i, j "" ilaplace Laplace imag image imagesc imfinfo imread imwrite imwrite ind2sub inf info MathWorks inline inmem input inputname int int2str interp1 interp2 interp3 interpn N interpft FFT intro Matlab inv invhilb Hilbert ipermute isa ischar isequal isempty isfinite isfield isglobal ishandle ishold isieee IEEE isinf isletter islogical ismember isnan isnumeric isobject isprime isreal isspace issparse isstruct isstudent Matlab iztrans Z

J j , K k

jacobian Jacobian jet jordan Jordan keyboard kron Kronecker

L l

laplace Laplace lasterr lastwarn leastsq legend lighting line lines plot linmod linmod2 linspace ln load MAT log log10 log2 2 loglog logm logspace lookfor M lower lsqnonlin lu LU

M m

mad magic maple &nb, sp; Maple mat2str material max mbuild EXE mcc MEXEXE mean median menuedit mesh meshz meshgrid "" methods mex MEX mfunlis mfunMAPLE mhelp Maple min mkdir mkpp mod more movie moviein mtaylor Taylor

N n

ndims NaN nargchk nargin nargout ndgrid newplot nextpow2 2 nnz nonzeros norm normcdf normest 2 norminv normpdf normrnd notebook MatlabWord null num2str numden nzmax

O o

ode1 Stiff ode15s Stiff ode23t Stiff ode23tb Stiff ode45 Stiff odefile ODE odeget ODE odephas2 ODE odephas3 ODE odeplot ODE odeprint Matlab odeset ODE ones 1 optimset orient orth

P p

pack Matlab pagedlg patch path Matlab pathtool pause pcode P pcolor peaks Matlab permute pi pie pie3 pink pinv plot plot3 plotmatrix plotyy poissinv poissrnd pol2cart polar poly poly2str poly2sym polyder polyfit polyval polyvalm pow2 2 ppval pretty print SIMULINK printsys prism procread MAPLE profile propedit pwd

Q q

quad quad8 (QUADL) quit Matlab quiver quiver3

R r

rand randn randperm range rank rats rcond real reallog realpow realsqrt realmax realmin rectangle "" rem repmat reshape residue return ribbon rmfield roots rose rot90 90 rotate rotate3d round rref rsf2csf rsums Riemann

S s

save scatter scatter3 sec sech semilogx X semilogy Y series set setfield setstr ASCII sign signum sim SIMULINK simget SIMULINK simple simplify simset SIMULINK simulink SIMULINK sin sinh size slice solve spalloc sparse spconvert spdiags spfun sph2cart sphere spinmap spline spones 1 sprandsym sprank spring sprintf spy sqrt sqrtm squeeze 1"" sscanf stairs std stem step str2double str2mat str2num strcat strcmp strjust strmatch strncmp strrep strtok struct struct2cell strvcat sub2ind subexpr subplot subs subspace sum summer superiorto surf surface surfc surfl surfnorm svd svds switch-case-otherwise sym2poly symmmd symrcm Cuthill-McKee syms

T t

tan tanh taylortool Taylor text tf tic title toc trapz treelayout treeplot tril trim trimesh trisurf triu try-catch Try-catch type M

U u

uicontextmenu uicontrol uimenu unmkpp unwrap upper

V v

var varargin varargout vectorize ver view voronoi Voronoi vpa

W w

warning what whatsnew Matlab Readme which while While white whitebg who whos winter workspace

X x , Y y , Z z

xlabel X xor yesinput ylabel Y zeros zlabel Z zoom ztrans Z

MATLAB

help

doc

what

MMATMEX

type

M

lookfor

help

which

Demo

Path

MATLAB

Who

Whos

Load

Save

Clear

Pack

Size

Length

disp

cd

Dir

Delete

Getenv

!

DOS

Unix

UNIX

Diary

MATLAB

Cedit

Clc

Home

Format

Echo

more

MATLAB

Quit

MATLAB

Startup

MATLABM

Matlabrc

M

Info

MATLABMathworks

Subscribe

MATLAB

hostid

MATLAB

Whatsnew

Ver

+

*

.*

^

.^

\

/

./

Kron

Kronecker

:

( )

[ ]

.

..

,

;

%

!

=

= =

< >

&

|

~

xor

Exist

Any

All

Find

Sin

Sinh

Asin

Asinh

Cos

Cosh

Acos

Acosh

Tan

Tanh

Atan

Atan2

Atanh

Sec

Sech

Asech

Csc

Csch

Acsc

Acsch

Cot

Coth

Acot

Acoth

Exp

Log

Log10

Sqrt

Abs

Argle

Conj

Image

Real

Fix

Floor

Ceil

Round

Rem

Sign

Zeros

Ones

1

Eye

Rand

Randn

Logspace

Meshgrid

XY

:

Ans

Eps

Realmax

Realmin

Pi

I,j

Inf

Nan

Flops

Nargin

Nargout

Computer

Isieee

IEEE

Why

Version

MATLAB

Clock

Date

Etime

Tic

Toc

Cputime

CPU

Diag

Fliplr

Flipud

Reshape

Rot90

90

Tril

Triu

:

Compan

Hadamard

Hadamard

Hankel

Hankel

Hilb

Hilbert

Invhilb

Hilbert

Kron

Kronecker

Magic

Toeplitz

Toeplitz

Vander

Vandermonde

Cond

Norm

Rcond Linpack

Rank

Det

Trace

Null

Orth

\/

Chol

Cholesky

Lu

Inv

Qr

QR

Pinv

Eig

Poly

Hess

Hessberg

Qz

Cdf2rdf

Schur

Schur

Balance

Svde

Expm

Expm1

expmM

Expm2

Expm3

Logm

Sqrtm

Funm

Ode23

Ode23p

Ode45

Quad

Quad8

Fmin

Fmins

Fzero

Fplot

Roots

Poly

Polyvalm

Residue

Polyfit

Polyder

Conv

Deconv

Figure

Gcf

Clf

Close

Subplot

Axes

Gca

Cla

Axis

Caxis

Hold

Figure

Axes

Line

Text

Patch

Surface

Image

Uicontrol

Uimen

Set

Get

Reset

Delete

Newplot

nextplotM

Gco

Drawnow

Findobj

Print

Printopt

Orient

Capture

XY

Plot

Loglog

Semilogx

X

Semilogy

Y

Fill

XY

Polar

Bar

Stem

Stairs

Errorbar

Hist

Rose

Compass

Feather

Fplot

Comet

Title

Xlabel

X

Ylabel

Y

Text

Gtext

Grid

MATLAB

Function

Eval

MATLAB

Feval

Global

If

Else

if

Elseif

if

End

For,whileif

For

While

Break

Return

Error

Input

Keyboard

Menu

Pause

Uimenu

Uicontrol

Strings

MATLAB

Abs

Setstr

Isstr

Blanks

Deblank

Str2mat

Eval

MATLAB

Strcmp

Findstr

Upper

Lower

Isletter

Isspace

Num2str

Int2str

Str2num

Sprintf

Sscanf

Hex2num

IEEE

Hex2dec

Dec2hex

Append

Augstate

Blkbuild

Cloop

Connect

Conv

Destim

Dreg

Drmodel

Estim

Feedback

Ord2

ABCD

Pade

Pade

Parallel

Reg

Rmodel

Series

Ssdelete

ssselect

C2d

C2dm

C2dt

D2c

D2cm

Poly

Residue

Ss2tf

Ss2zp

Tf2ss

Tf2zp

Zp2tf

Zp2ss

Balreal

Dbalreal

Dmodred

Minreal

Modred

Canon

Ctrbf

Obsvf

Ss2ss

Covar

Ctrb

Damp

Dcgain

Dcovar

Ddamp

Ddcgain

Dgram

Dsort

Eig

Esort

Gram

Obsv

Printsys

Roots

Tzero

Tzero2

Dimpulse

Dinitial

Dlsim

Dstep

Filter

Z

Impulse

Initial

Lsim

Ltitr

Step

Stepfun

Bode

Bode

Dbode

Bode

Dnichols

Nichols

Dnyquist

Nyquist

Dsigma

Fbode

Bode

Freqs

Freqz

Z

Ltifr

Margin

Nichols

Nichols

Ngrid

Nichols

Nyquist

Nyquist

Sigma

Pzmap

Rlocfind

Rlocus

Sgrid

Zgrid

Acker

Dlqe

Dlqew

Dlqr

Dlqry

Lqe

Lqed

Lqe2

Schur

Lqew

Lqr

Lqrd

Lqry

Lqr2

Schur

Place

Are

Riccati

Dlyap

Lyapunov

Lyap

Lyapunov

Lyap2

Lyapunov

Ctrldemo

Boildemo

LQG

Jetdemo

Diskdemo

Kalmdemo

Kalman

Abcdchk

ABCD

Chop

n

Dexresp

Dfrqint

Bode

Dfrqint2

Nyquist

Dmulresp

Distsl

Dric

Riccati

Dsigma2

DSIGMA

Dtimvec

Exresp

Freqint

Bode

Freqint2

Nyquist

Freqresp

Givens

Housh

Householder

Imargin

Lab2ser

Mulresp

Nargchk

M

Perpxy

Poly2str

Printmat

Ric

Riccati

Schord

Schwr

Sigma2

SIGMA

Tfchk

Timvec

Tzreduce

Vsort

MATLAB

1applylut

lookup

A = applylut(BW,lut)

lut = makelut('sum(x(:)) == 4',2);


BW2 = applylut(BW1,lut);

imshow(BW1)

figure, imshow(BW2)

makelut

2bestblk

siz = bestblk([m n],k)

[mb,nb] = bestblk([m n],k)

siz = bestblk([640 800],72)

siz =

64 50

blkproc

3blkproc

320 MATLAB

B = blkproc(A,[m n],fun)

B = blkproc(A,[m n],fun,P1,P2,...)

B = blkproc(A,[m n],[mborder nborder],fun,...)

B = blkproc(A,'indexed',...)

I = imread('alumgrns.tif');

I2 = blkproc(I,[8 8],'std2(x)*ones(size(x))');

imshow(I)

figure, imshow(I2,[]);

colfilt, nlfilter,inline

4brighten

brighten(beta)

newmap = brighten(beta)

newmap = brighten(map,beta)

brighten(fig,beta)

imadjust, rgbplot

5bwarea

total = bwarea(BW)


imshow(BW);

MATLAB 321

bwarea(BW)

ans =

15799

bweuler, bwperim

6bweuler

eul = bweuler(BW,n)


imshow(BW);

bweuler(BW)

ans =

2

bwmorph, bwperim

7bwfill

BW2 = bwfill(BW1,c,r,n)

BW2 = bwfill(BW1,n)

[BW2,idx] = bwfill(...)

BW2 = bwfill(x,y,BW1,xi,yi,n)

[x,y,BW2,idx,xi,yi] = bwfill(...)

BW2 = bwfill(BW1,'holes',n)

[BW2,idx] = bwfill(BW1,'holes',n)

322 MATLAB

BW1 =[1 0 0 0 0 0 0 0

1 1 1 1 1 0 0 0

1 0 0 0 1 0 1 0

1 0 0 0 1 1 1 0

1 1 1 1 0 1 1 1

1 0 0 1 1 0 1 0

1 0 0 0 1 0 1 0

1 0 0 0 1 1 1 0]

BW2 = bwfill(BW1,3,3,8)

BW2 =

1 0 0 0 0 0 0 0

1 1 1 1 1 0 0 0

1 1 1 1 1 0 1 0

1 1 1 1 1 1 1 0

1 1 1 1 0 1 1 1

1 0 0 1 1 0 1 0

1 0 0 0 1 0 1 0

1 0 0 0 1 1 1 0


BW3 = ~im2bw(I);

BW4 = bwfill(BW3,'holes');

imshow(BW3)

figure, imshow(BW4)

bwselect, roifill

8bwlabel

MATLAB 323

L = bwlabel(BW,n)

[L,num] = bwlabel(BW,n)

BW = [1 1 1 0 0 0 0 0

1 1 1 0 1 1 0 0

1 1 1 0 1 1 0 0

1 1 1 0 0 0 1 0

1 1 1 0 0 0 1 0

1 1 1 0 0 0 1 0

1 1 1 0 0 1 1 0

1 1 1 0 0 0 0 0]

L = bwlabel(BW,4)

L =

1 1 1 0 0 0 0 0

1 1 1 0 2 2 0 0

1 1 1 0 2 2 0 0

1 1 1 0 0 0 3 0

1 1 1 0 0 0 3 0

1 1 1 0 0 0 3 0

1 1 1 0 0 3 3 0

1 1 1 0 0 0 0 0

[r,c] = find(L==2);

rc = [r c]

rc =

2 5

3 5

2 6

3 6

bweuler, bwselect

9bwmorph

BW2 = bwmorph(BW1,operation)

BW2 = bwmorph(BW1,operation,n)

MATLAB...

Documents

Transcript of MATLAB...