CSc 4260/6260                                   Digital Image Processing                  Fall 2004
(Computer Number 80701/80715)           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:             1:00-2:00 p.m. Tuesday, 3:00- 4:00 p.m. Wednesday, 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 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 Structure

Withdrawals:              The last day for regular withdrawal is Friday October 15, 2004.

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:                          40%
                  Tests (2 midterm tests):        30%
                  Homework Assignments:      30%
 

                 CSC6260:
                  Final Project:                        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:            Wed. Oct. 6.
                                    Test #2             Wed. Nov. 17
                                    Final Exam:       Wed Dec. 15, Room 400CS, 12:30- 2:30 pm.
 

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