Digital Image Processing
CSC 4260/6260
MW 1:00 – 2:40 PM
Fall 2000
Room 315G
(Computer Number
5062/5063)
Instructor: Dr. Saeid Belkasim
762 COE Building
Tel (404) 651-0674
Fax (404) 651-2246
Email : sbelkasim@cs.gsu.edu
Office Hours: 3:00 – 5:00 p.m. MW, others by appointment
Text: R.C. Gonzalex and R.E. Woods, Digital Image Processing,
Addison, Wesley, 1992
Reference: A. K. Jain, Fundamentals of Digital Image Processing,
Prentice Hall, 1989.
Course Content: This course covers the basic fundamentals of image processing which include image digitization, description, enhancement, segmentation, image transforms, filtering, restoration, coding and retrieval. Concepts are illustrated by laboratory sessions in which these techniques are applied to practical situations, including examples from industrial and biomedical image processing.
Topics: 1. Image Processing Hardware
2. Introduction/Digital Image Fundamentals
3. Elements of Scene Analysis
4. Image description and reconstruction
5. Image segmentation
6. Image enhancement
7. Image transforms
8. Image Data Compression
9. Restoration
10. Multiresolution Image Processing
11. Basic elements of object recognition
12. Industrial and biomedical applications
Prerequisites: CSC 3410 Data Structures
Withdrawals: The last day for regular withdrawal is Friday October 13, 2000.
Requirements: Students are expected to attend all classes. Regular completion of all assignments, projects and tests is absolutely essential to succeed in this course.
Grading: For 4260:
Final Exam: 40%
Tests (2 midterm tests) 30%
Homework assignments: 30%
For 6260
Final Exam: 40%
Tests (2 midterm tests) 30%
Homework assignments: 30%
Other policy:
· Make up’s or missed deadlines must be coordinated prior, and are allowed only at the discretion of the instructor.
· All material submitted for grade must be the student’s own work.
· Collaboration is allowed prior to preparation of actual material that is submitted for grade.
Test
dates: Test #1 Wednesday, September 27, 2000
Test #2 Wednesday, November 8, 2000
Room 315G, 12:30 – 2:30 p.m.