Digital Image Processing

IMAGE PROCESSING USING MATLAB

What is Digital Image Processing?

Science of modifying a digital image

using certain image processing algorithms

and operations.

Typical Image Processing Operations

1. Sharpening

Typical Image Processing Operations

2. Noise Removal

Typical Image Processing Operations

3. DeBlurring

Typical Image Processing Operations

4. Edge Extraction

Typical Image Processing Operations

5. Binarization

Typical Image Processing Operations

6. Blurring

Typical Image Processing Operations

7. Contrast Enhancement

Typical Image Processing Operations

8. Object Segmentation and Labelling

Components of a digital image processing system

A Machine Vision System

A machine vision system is a combination of hardware and software designedto solve problems involving the analysis of visual scenes using intelligent

algorithms.

Digital Image Representation

A monochrome image and the convention used to represent rows (x)

and columns (y)

General Representation

MATLAB Representation

Types Of Images

1. Binary (1-Bit) Images

1 : White0: Black

Pixel Value = 1 represents an edge

Pixel Value = 0 represents background

A Binary Image(result of edge detection algorithm)

Types Of Images

2. Gray-Level (8-bit) Images

Pixel Value = 0Corresponds to BLACK

Pixel Value = 255Corresponds to WHITE

Pixel Value = 1 to 254represents varying shades of Gray

A Gray Scale image and the pixel values in a 6 x 6 Neighbourhood

Types Of Images

3. Color Images3.1 24 bit RGB Color Image 3.2 Indexed

Color Image

Applications of Digital Image Processing

o Image Sharpening and Restoration

o Medical Field

o Remote Sensing

o Transmission and Encoding

o Machine/ Robot Vision

o Color Processing

o Pattern Recognition

o Video Processing

o Microscopic Imaging

Thank You