CENG466 FUNDAMENTALS OF IMAGE PROCESSING
| Course Code: | 5710466 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 6.0 |
| Department: | Computer Engineering |
| Language of Instruction: | English |
| Level of Study: | Undergraduate |
| Course Coordinator: | Prof.Dr. FATOŞ TUNAY YARMAN VURAL |
| Offered Semester: | Fall or Spring Semesters. |
Course Objectives
The objective of this course is to provide the basic concepts of Image Processsing field, such as,sampling, quantization, enhancement in space and frequency domain, edge detection, segmentation, image morphology and image compression. The course also aims to gain basic research expertize in this field. This task is achieved by a series of open ended homework assignments.
Course Content
Image transforms. Image acquisition. Image representation and data structures. Image analysis. Image enhancement. Pattern recognition basics. Edge detection and segmentation.
Course Learning Outcomes
Student, who passed the course satisfactorily will be able to:
- get an understanding on basic image processing problems
- formalize and solve basic image processing problems
- develop algorithms for solving image processing problems
- implement the algorithms in a programming language to solve practical image processing problem
Program Outcomes Matrix
| Contribution | |||||
| # | Program Outcomes | No | Yes | ||
| 1 | An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics | ✔ | |||
| 2 | An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors | ✔ | |||
| 3 | An ability to communicate effectively with a range of audiences | ✔ | |||
| 4 | An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts | ✔ | |||
| 5 | An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives | ✔ | |||
| 6 | An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions | ✔ | |||
| 7 | An ability to acquire and apply new knowledge as needed, using appropriate learning strategies | ✔ | |||