Description

Digital image processing involves changing the nature of an image to improve its pictorial information for human interpretation or render it for autonomous machine perception. The subject is cross-disciplinary and has many applications including medical diagnosis, surveillance, remote sensing, space exploration, practical solutions of digital image/video perception, etc.

Outcomes

· Demonstrate understanding of the basic concepts of image acquisition, sampling, and quantization.

· Demonstrate understanding of the color spaces and color transformation.

· Demonstrate understanding of spatial and frequency filtering techniques.

· Demonstrate understanding of the fundamental image enhancement algorithms such as histogram modification and edge detection.

· Develop writing and presentation skills to communicate digital image processing-related topics.

Textbook

Digital Image Processing

Rafael C. Gonzalez, Richard E. Woods, and Steven L. Eddins, Prentice Hall, ISBN 9870131687288

Grading

Assignments 800 points

Project 200 points

Exams 300 points

Assignments - There are eight assignments. Each assignment has 100 points.

- All assignments must be completed individually. Discussions with peer students are acceptable. However, copy-paste or submitting a similar program/report is prohibited. If such a case is identified, the students involved will be given a zero grade for the assignment or an F grade for the course.

- A late submission is not accepted except that the student is in one of the following cases. In case of sickness, a severe accident, or any foreseeable delay that prevents the student from completing or turning in the work, discussion with the instructor is required for the consideration of accepting the late submission. A written note, e.g., from the doctor that provides treatment, that states the case is mandatory to receive any credit for the late submission.

Project - A project is assigned to each group of students.

- Each team must turn in a source code package, a one-page program description, and project presentation slides.

- The project presentation is part of the project.

Exam There are three exams.

Absenteeism Policy

· Attendance is not required.

· Students who are absent from any class are responsible for any missing course materials, including but not limited to slides, notes, homework, and exams.

· No make-up exams will be accommodated except for extreme circumstances, e.g., a medical emergency. Written evidence is required no later than 5 days after the absence.

Course Evaluation

At the end of the semester, you will be asked to participate in two evaluations for this course: one SPOT evaluation and one for the ABET purpose. Taking these surveys is strongly encouraged and bonus points (10 for each) will be granted to the ones who complete the survey with proof.

ADA

UNT complies with all federal and state laws and regulations regarding discrimination including the Americans with Disability Act of 1990 (ADA). If you have a disability and need reasonable accommodation for equal access to education or services, please contact the Office of Disability Accommodation.

Collaboration and Cheating

Discussion among students is allowed. But you must not share source code or any kind of implementation. All work you turn in must be completely done by yourself for the individual assignments or the group for the team project/assignment.

Cheating will not be tolerated. Students guilty of cheating on a test or an assignment will receive a zero mark for the test or assignment or an F grade for the course. Allowing others to copy work is also considered cheating and is treated the same way. For further details and clarifications regarding collaboration and cheating, view the university Student Rights and Responsibilities web page.