CSE 511 - Image Processing

This course provides the student with the theoretical and practical knowledge to apply various techniques for image processing . It includes processing of multidimensional data such as images and videos. The types of problems students are expected to solve are image segmentation, information extraction, object detection, image filtering, feature extraction etc.

The course aims to describe theories, algorithms, and practical solutions of digital image processing. The main topics of the course include image perception, acquisition, color representation, quantization, transform, enhancement, filtering, multi-spectral processing, analysis, feature extraction, segmentation, morphological transformation, object detection and recognition.

Gonzalez and Woods, Digital Image Processing, 2nd edition, Prentice Hall, 2001.

Gonzalez and Woods, Digital Image Processing using MATLAB.

Anil K. Jain, Fundamentals of Digital Image Processing, Prentice Hall, 1989.

William K. Pratt, Digital Image Processing, 3rd Edition, John Wiley, 2001.

Kenneth R. Castleman, Digital Image Processing, Prentice Hall, 1996.

1. You need to write an article related to a topic of image processing. You must read at least five journal articles and write your own observations as an article in IEEE format. A list of journals and format of the article will further be discussed in the class.

1. Use of Mobiles: Use of mobiles in classroom and in lab is not allowed. If a student is caught using mobile, they may receive a warning first, then they may be not allowed to sit in class or lab.
2. Attendance: Attending both lectures and lab is mandatory. You will NOT be allowed to enter the class after first 10 minutes. You are encouraged to be in class on time. If your attendance is less than 70%, you will be withdrawn from course a DZ grade will be assigned.
3. Late submission: If you fail to submit your assignment on the specified time, you will be given extra one week to submit it (Only if you provide a genuine reason for late submission). However, the grading will be done from 50% of original marks. After this period, your work will carry NO marks.

For final project, the deadline is the last week of course work before final exam. There is NO extension in its deadline.

1. Plagiarism: You are not allowed to directly copy and paste codes without understanding them available online for your project or homework. If you understood and used the online material, then you must provide and reference to the website or resource that you have used. Otherwise, it will be considered plagiarism and no marks will be given to you.