EXTRACTION OF REGION OF INTEREST IN AN IMAGE

SUPERVISED BY : Dr. VIDYOTTAMA JAIN

PRESENTED BY : HARSUKH CHANDAK ENROLLMENT NO. :

2014MSCS006 DEPARTMENT OF COMPUTER

SCIENCE

CONTENTS•Image types, Image formats and key terms for images

•What is digital image processing?

•Key stages in digital image processing

•Applications and Challenges in Digital Image Processing

•Conclusion

•References

1 pixel

IMAGE TYPES

• Analog image

• Digital image

-Black and White Images

-Color Images

-Binary / Bi-level Images

-Indexed Color Images

IMAGE FILE FORMATS

•Bitmap(Raster) images

-collection of dots, each pixel can hold 1 , 8,24… bit of color information

•Vector graphics

-based on mathematical instructions

•Metafile graphics

-combination of bitmap and vector

IMAGE TYPES AND IMAGE FORMATS

KEY TERMS OF IMAGE Pixels

•smallest addressable part of the screen

•It is a tiny dot of particular color

Pixel Depth

•Refers to number of bits to store each pixel

•greater depth, more colors

•greater depth, bigger file size

•ppi and dpi

•Resolution : is density of dots on image measured in DPI (dots per Inch)

DIGITAL IMAGE PROCESSING A digital image is a representation of a two-dimensional image as a finite set of digital values, called picture elements or pixels

Digital image processing focuses on two major tasks◦ Improvement of pictorial information for human interpretation◦ Processing of image data for storage, transmission and representation for autonomous

machine perception

Common image formats include:◦ 1 sample per point (B&W or Grayscale)◦ 3 samples per point (Red, Green, and Blue)

Key Stages in Digital Image Processing

Image Acquisition

Image Restoration

Morphological Processing

Segmentation

Representation & Description

Image Enhancement

Object Recognition

Problem Domain

Applications•It improves the visual quality of an image and the distribution of intensity.

•It can easily process an degraded image of un-coverable objects

•It can process an image in such a way that the result is more suitable than the original image

•The image compression technique reduces the amount of data required to represent a digital image.

•Mathematical and logical operations can be performed on an image like addition subtraction, OR etc.

Challenges•Digital image processing requires high amount of storage space and processing power

•Effect of environmental conditions may degrade the processed image quality

•It involves various types of redundancy like data redundancy, inter-pixel redundancy

APPLICATIONS AND CHALLENGES IN IMAGE PROCESSING

CONCLUSION•Extraction of region of interest in an image is a part of Digital Image Processing. It has various application in real life.

•The minor project is divided into the following parts:

-In the first part the work area is explained

-In the second part I will be selecting a particular field for extracting the region of interest in an image and discuss the various operations performed on the image to extract the features of region of interest.

-At last I will be implementing a method how we extract a region of interest in an image in a selected field

REFERENCES•Rafael C. Gonzalez, Richard E. Woods, 2nd Edition. “Digital image processing: Pearson New International Edition”.

•S. Jayaraman . “Digital Image Processing”: Tata McGraw-Hill Education, 2011.

“Things that think… don’t make sense unless they link.”

Thank You