CSc
4260/6260
Digital Image
Processing
Fall 2006
(Computer Number 80571/80583)
MW 1:00- 2:40
PM
Room 400CS
Instructor:
Dr. Saeid Belkasim
34
Peachtree st., Suite 1448
Tel: (404) 651-0674
Fax: (404)
463-9912
Email: sbelkasim@cs.gsu.edu
Office Hours: MW 3:00- 4:00 p.m., others by appointment
Text:
R. C. Gonzalez and R. E. Woods, Digital Image Processing, Prentice
Hall, 2002
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 programming exercises 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 Structure
Withdrawals: The last day for regular withdrawal is Monday October 16, 2006.
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
CSC 4260:
Final
Exam:
35%
Tests (2 midterm tests):
30%
Homework Assignments: 25%
Quizzes:
10%
CSC6260:
Final
Project:
35%
Tests (2 midterm tests):
30%
Homework Assignments: 25%
Quizzes:
10%
Other policy:
·
Important dates:
CSC 4260:
Test
#1:
Wed. September 27.
Test
#2
Wed. November. 8
Final Exam: Wed Dec. 06, Room
400CS, 1- 2:40 pm.
CSC 6260:
Test
#1:
Wed. September 27.
Test
#2
Wed. November. 8
Project Presentations: Mon
Dec. 04
Project due
date:
Mon Dec. 11