CSC 520 Digital Image Processing
Fall 2008

TR 4:30 – 5:45 pm
CIS Room 1006
[Instructor Home] [Syllabus] [Course Calendar] [Resources]
 


Instructor

Dr. Karl Ricanek, Jr.

This instructor is available by email at ricanekk@uncw.edu, by telephone (962-4261), and during office hours (CI 2042).   Office hours are posted on the instructor’s home page and located on the door to his office.  In addition, students can arrange to meet with the professor outside of normal office hours by contacting him via email or phone or schedule using Outlook. 


Learning Strategies

You are expected to take an active role in your learning in this course. This includes regular attendance, paying attention in class, reading the textbook, and completing all course requirements. You are encouraged to study with your classmates outside of class. Project assignments usually require a lot more time than expected, so start early and work some every day.
 

Student Resources

Course

Prerequisites: Prerequisite: CSC 340 or equivalent.  

 

Textbook: Digital Image Processing Third Edition, Gonzalez and Woods.
ISBN: 0-13-168728-x. Textbook Resources - may download

http://www.imageprocessingplace.com/DIP-3E/dip3e_main_page.htm

 

Course Description: This course introduces the methods and theory of digital image processing beginning with image representations, storage formats, and data structures. Students develop tools for reading image data, determining image properties and performing common point, local, and global transforms. The course also covers data compression, multiresolution processing, and image segmentation.

Exit Goals:  The student will have a general knowledge of digital image processing techniques to include point and line detection, segmentation, multiresolution processing, image compression, and color models.

 

Participation: Regular class attendance is required. Completion of assignments will entail time spent at a personal computer during class hours and outside of class (see ITSD Student Lab Schedule).

 

Grading:                      Class Attendance:        5%

                                    Assignments:               15%

                                    Project/Presentation:    20%

                                    Two exams (20% per) 40%

                                    Final Exam                  20%

 

                        All late assignments will receive a 10% per day deduction from the maximum score.

           

            Note: All exams are closed notes and book.  The date of the exams will be announced in class and recorded on the web calendar for the course.

1.     Make-up exams only with written excuse from a medical doctor and student must contact instructor before the day of the exam.  (This will be strictly enforced.)

2.     Any student who will be absent for more than five times will be encouraged to drop this course.

 

Numeric Score     Letter Grade     Quality Points 
   ====================================================               
      90.0 - 100           A                4.00 
      80.0 - 89.5          B                3.00
      70.0 - 79.5          C                2.00
      60.0 - 69.5          D                1.00
      00.0 - 59.5          F                0.00
 

Study Guide: Chapters from the text will be covered as follows:

               1   Introduction and Components of Image Processing System

               2   Digital Image Fundamentals

               3   Intensity Transformation & Spatial Filtering

               10 Image Segmentation

               4   Frequency Domain

               5   Image Restoration

               6   Color Models

               7   Multiresolution Processing

               8   Image Compression

Special Needs

If you have a disability and need reasonable accommodation in this course, you should inform the instructor of this fact in writing within the first week of class or as soon as possible. If you have not already done so, you must register with the Office of Disability Services in Westside Hall (extension 3746) and obtain a copy of your Accommodation Letter. You should then meet with your instructor to make mutually agreeable arrangements based on the recommendations of the Accommodation Letter.

 

Code of Academic Responsibility and Conduct

Students are responsible for submitting their own work. Students who cooperate on oral or written examinations or work without authorization share the responsibility for violation of academic principles, and the students are subject to disciplinary action even when one of the students is not enrolled in the course where the violation occurred.