Digital Image Processing

Course Title: Digital Image Processing

Course No. : CSE 4105

Contact hours/week: 3

Credits: 3.00

Prerequisite: None

Course Description

Digital Image Fundamentals: basic concept of digital images, sampling and quantization, imaging geometry, image acquisition systems, Bi-level Image Processing: distance transform, medial axis transform, component labeling, thinning, morphological processing, extension to grey scale morphology, Binarization of Grey level images: histogram of grey level images, optimal thresholding using Bayesian classification, multilevel thresholding, Detection of edges : first order and second order edge operators, multi-scale edge detection, Canny's edge detection algorithm, Hough transform for detecting lines and curves, edge linking, Images Enhancement: point processing, spatial filtering, frequency domain filtering, multi-spectral image enhancement, image restoration, Image Segmentation: segmentation of grey level images, water shade algorithm for segmenting grey level image, image representation and description, recognition and interpretation, Image compression: lossy and lossless compression schemes, prediction based compression schemes, vector quantization, sub-band encoding schemes, JPEG compression standard, Fractal compression scheme, Wavelet compression scheme. Emphasis is on the general principles of image processing. Students learn to apply material by implementing and investigating image processing algorithms in Matlab/Python/other appropriate digital image processing software.

Grading

• • Quizzes/Class Test: 20 Marks* (3 best out of 4 quizzes/class tests may be taken for awarding grade)

  • Homework’s/Attendance: 8 Marks*

  • Semester Exam: 72 Marks

* - We reserve the right to change the above grading scheme.

Homework’s

A new homework is released and is then due after 9 days. No grade will be given to homework submitted afterwards. Homework solutions should be written and submitted individually, but discussions among students are encouraged.

Referred Books

• • Digital Image Processing, Rafael C. Gonzalez and Richard E. Woods.

  • Digital Image Processing, William K. Pratt.

  • Digital Image Processing, Kenneth R. Castleman.

  • Others

Notice

• • Class Test Marks - #1 - Question - Marks

  • Class Test Marks - #2 - Question - Marks

  • Class Test Marks - #3 - Question - Marks*

  • Class Test Marks - #4 - Question - Marks

  • Quiz Test - Question - Marks

Class Outline

Lab Outline

Handouts

01. Lecture - 00 - ppt

02. Lecture - 01 - ppt

03. Lecture - 02 - ppt

04. Lecture - 03 - ppt

05. Lecture - 04 - ppt

06. Lecture - 05 - ppt

07. Lecture - 06 - ppt

08. Lecture - 07 - ppt

09. Lecture - 08 - ppt

10. Lecture - 09 - ppt

11. Lecture - 10 - ppt

12. Lecture - 11 - ppt

13. Lecture - 12 - ppt

14. Lecture - 13 - ppt

15. Lecture - 14 - ppt

16. Lecture - 15 - ppt

17. Lecture - 16 - ppt

18. Lecture - 17 - ppt

19. Chapter 8 - ppt

20. Chapter 9 - ppt

21. Chapter 10 - ppt

Lab Modules

1. Module - 01 - pdf

2. Module - 02

3. Module - 03

4. Module - 04

5. Module - 05

6. Module - 06