Department: Computer Engineering
Course name: CENG 441- Digital Image Processing
5 Credit (ECTS)
Methods of Education Lecture
Recitation/ (Etud)
Semester
Lab
Project/Field Study
Homework
-
-
-
Other
Total 5
Language Compulsory/Elective Prerequisites Course Contents
Course Objectives Learning Outcomes and Competences
Textbook and /or References
Assessment Criteria
Instructors Weeks 1, 2 3, 4 5, 6 7, 8 9, 10 11, 12 13, 14 15
English Technical Elective None Fundamentals of digital image processing, image sampling and quantization, image enhancement in spatial and frequency domains, image restoration, color image processing, morphological image processing Ability to learn digital image processing techniques and apply in practical problems 1. Learning basic digital image representation principals, 2. Ability to perform spatial and frequency domain analysis, 3. Learning methods involving binary, gray scale and color image representations, 4. Gaining hands on experience in the use of Matlab and OpenCV 1. R. C. Gonzalez, R. E. Woods, Digital Image Processing 3rd Edition, Prentice Hall, 2007. 2. R. C. Gonzalez, R. E. Woods, S. L. Eddins, Digital Image Processing Using Matlab, Pearson Prentice Hall, 2003 3. R. Laganiere, OpenCV2 Computer Vision Application Programming Cookbook, Packt Publishing, 2011. If any, mark as (X) Percentage (%) Midterm Exams X 35 Quizzes X 10 Homework X 10 Projects Term Paper Laboratory work Other Final Exam X 45 Assist. Prof. Dr. Osman Serdar Gedik Subject Fundamentals of Digital Image Processing Image Sampling and Quantization Image Enhancement in Spatial Domain Image Enhancement in Frequency Domain Image Restoration Color Image Processing Morphological Image Processing Image Segmentation