ECTS - Advanced Topics in Digital Image Processing

Advanced Topics in Digital Image Processing (MDES672) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Advanced Topics in Digital Image Processing MDES672 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Ph.D.
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives Upon successful completion of the course, students will learn and have an understanding of the mathematical tools for modeling and analysis of image acquisition and processing systems. Students will also master basic techniques of image processing applications.
Course Learning Outcomes The students who succeeded in this course;
  • Upon successful completion of the course, students will learn and have an understanding of the mathematical tools for modeling and analysis of image acquisition and processing systems. Students will also master basic techniques of image processing applications.
Course Content Review of image processing fundamentals, frequency and space domain image processing methods; wavelets, multiresolution processing, and orthogonal transforms; image and video compression standards; image segmentation and representation; nonlinear image processing methods.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Review of image processing fundamentals Related pages of lecture notes and other sources
2 Review of basic frequency and space domain image processing techniques Related pages of lecture notes and other sources
3 Review of basic frequency and space domain image processing techniques Related pages of lecture notes and other sources
4 Subband decomposition, filter banks, and pyramids Related pages of lecture notes and other sources
5 Subband decomposition, filter banks, and pyramids Related pages of lecture notes and other sources
6 Wavelets and discrete orthogonal transforms Related pages of lecture notes and other sources
7 Wavelets and discrete orthogonal transforms Related pages of lecture notes and other sources
8 Nonlinear image processing techniques Related pages of lecture notes and other sources
9 Nonlinear image processing techniques Related pages of lecture notes and other sources
10 Image segmentation Related pages of lecture notes and other sources
11 Image representation and Description Related pages of lecture notes and other sources
12 Image representation and Description Related pages of lecture notes and other sources
13 Object Recognition Related pages of lecture notes and other sources
14 Object Recognition Related pages of lecture notes and other sources
15 Overall review -
16 Final exam -

Sources

Course Book 1. Ders notları / Notes are available
Other Sources 2. 1. Digital Image Processing, Rafael C. Gonzales and Richard E. Woods, Addison-Wesley Publishing Company, 1993.
3. 2. Digital Video Processing, A. Murat Tekalp, Prentice-Hall, 1995.
4. 3. Two-Dimensional Signal and Image Processing, Jae S. Lim, Prentice-Hall, 1989.
5. 4. Fundamentals of Digital Image Processing, Anil K. Jain and Thomas Kailath, Prentice-Hall 1988.
6. 5. Digital Image Processing, Kenneth R. Castleman, Prentice-Hall, 1995.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics 4 20
Homework Assignments - -
Presentation - -
Project 2 40
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 20
Final Exam/Final Jury 1 20
Toplam 9 100
Percentage of Semester Work 80
Percentage of Final Work 20
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Develops the ability to apply advanced knowledge of mathematics, science, and engineering to the analysis, design, and optimization of complex systems.
2 Implements long-term research and development studies in the major fields of Electrical and Electronics Engineering.
3 Use modern engineering tools, techniques and facilities in design and other engineering applications. X
4 Does research actively on innovation and entrepreneurship.
5 Develops the ability to effectively communicate and present research outcomes.
6 Keeps up with recent advancements in science and technology and effectively accesses relevant information.
7 Will have professional and ethical responsibility.
8 Develops ability to effectively communications in both Turkish and English.
9 Develops ability on project management.
10 Develops the ability to work successfully at project teams in interdisciplinary fields. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 2 32
Presentation/Seminar Prepration
Project
Report
Homework Assignments 4 5 20
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 8 16
Prepration of Final Exams/Final Jury 1 10 10
Total Workload 126