Digital image processing involves modifying digital images using various algorithms and operations like sharpening, noise removal, and edge extraction. The document outlines typical image types, including binary, gray-level, and color images, as well as applications in fields such as medicine, remote sensing, and machine vision. A machine vision system combines hardware and software to analyze visual scenes using advanced algorithms.

1. IMAGE PROCESSING USING
MATLAB

2. What is Digital Image
Processing?
Science of modifying a digital image
using certain image processing algorithms
and operations.

3. Typical Image Processing Operations
1. Sharpening

4. Typical Image Processing Operations
2. Noise Removal

5. Typical Image Processing Operations
3. DeBlurring

6. Typical Image Processing Operations
4. Edge Extraction

7. Typical Image Processing Operations
5. Binarization

8. Typical Image Processing Operations
6. Blurring

9. Typical Image Processing Operations
7. Contrast Enhancement

10. Typical Image Processing Operations
8. Object Segmentation and Labelling

11. Components of a digital image processing system

12. A Machine Vision System
A machine vision system is a combination of hardware and software designed
to solve problems involving the analysis of visual scenes using intelligent
algorithms.

13. Digital Image Representation
A monochrome image and the
convention used to represent rows (x)
and columns (y)
General Representation
MATLAB Representation

14. Types Of Images
1. Binary (1-Bit) Images
1 : White
0: Black
Pixel Value = 1
represents an edge
Pixel Value = 0
represents background
A Binary Image(result of edge detection algorithm)

15. Types Of Images
2. Gray-Level (8-bit) Images
Pixel Value = 0
Corresponds to BLACK
Pixel Value = 255
Corresponds to WHITE
Pixel Value = 1 to 254
represents varying shades
of Gray
A Gray Scale image and the pixel values in a 6 x 6
Neighbourhood

16. Types Of Images
3. Color Images
3.1 24 bit RGB Color Image 3.2 Indexed Color Image

17. 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

18. Thank You