Introduction of image processing

Introduction of Digital Image Processing

What is an image?

Basic elements of an image processing

• Image Acquisition (camera)

• Image storage (Frame grabber card)

• Image processing (Algorithms)

• Display (monitor/VGC)

• Transmission (If required)

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Image types:

1. Monochrome images (Binary image-single bit)

2. Grey scale images (8bits-3 samples per point)

3. Color image (24-bit-8 samples per point)`

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Image format• BMP

• TIFF

• GIF

• JPEG

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Sampling and QuantisationTo digitize the analog images.

Digitization= Sampling +Quantization

Sampling: Convolution in time domain is multiplication in frequency domain and vice versa.

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A digital image is a representation of a two-dimensional image as a finite

set of digital values, called picture elements or pixels. F(x , y)=

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1 pixel

Pixel values typically represent gray levels, colors, heights, etc. Digitization implies that a digital image is an approximation of a real scene

The way from Image processing to Computer vision is from three levels processes

Image Processing

Computer Graphics

Computer Vision

Level 1 Noise removals

Level 2 Object Recognition & Segmentation

Level 3 Scene understanding & automated Navigation

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Digital Image Processing System

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Image Acquisition

Image Restoration

Morphological Processing

Segmentation

Representation & Description

Image Enhancement

Object Recognition

Problem Domain

Colour Image Processing

Image Compression

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Image Acquisition

Image Restoration


Segmentation


Image Enhancement

Object Recognition

Problem Domain


Image Compression

Digital Image Processing System :Image Enhancement

Digital Image Processing System :Image Restoration

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Image Acquisition

Image Restoration


Segmentation


Image Enhancement

Object Recognition

Problem Domain


Image Compression

Digital Image Processing System :Morphological Processing

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Image Restoration


Segmentation


Image Enhancement

Object Recognition

Problem Domain


Image Compression

Image Acquisition

Digital Image Processing System :Segmentation

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Image Restoration


Image Enhancement

Object Recognition

Problem Domain


Image Compression


Segmentation

Image Acquisition

Segmentation

Digital Image Processing System :Object Recognition

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Image Acquisition

Image Restoration


SegmentationImage

Enhancement

Problem Domain


Image Compression


Object Recognition

Digital Image Processing System :Representation & Description

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Image Acquisition

Image Restoration


Segmentation


Image Enhancement

Object Recognition

Problem Domain


Image Compression

Digital Image Processing System :Image Compression

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Image Acquisition

Image Restoration


Segmentation


Image Enhancement

Object Recognition

Problem Domain


Image Compression

Digital Image Processing System :Colour Image Processing

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Image Acquisition

Image Restoration


Segmentation


Image Enhancement

Object Recognition

Problem Domain


Image Compression

Applications of Image processing

1. Biometrics

2. Medical

3. Space

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Biometric System• Biometrics comprises methods for uniquely recognizing humans based upon

one or more intrinsic physical or behavioral traits.

• Physiological are related to the shape of the body.

• Behavioral are related to the behaviour of a person. Examples like Gait, Voice, Signature and Key Stroke.

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Physiological & Behavioral Biometric Traits

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Thank you..

May 26, 2016 Sample footer 22

Introduction of image processing

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