| Course Name | Code | Semester | T+U Hours | Credit | ECTS |
|---|---|---|---|---|---|
| Image Processing | EBO 440 | 8 | 3 + 0 | 3 | 5 |
| # | Course Learning Outcomes | Teaching Methods | Assessment Methods |
|---|---|---|---|
| 1 | To inspect image acquisition systems, design systems | Lecture, | |
| 2 | To understand image acquisition in human vision system, learn color models and associate with vision systems | Motivations to Show, Role Playing, Question-Answer, Brain Storming, Lecture, | Gap Fill Tests, True False Tests, |
| 3 | To understand digital image, knowing fundamental of digital image components | Lecture, Motivations to Show, Brain Storming, Role Playing, Question-Answer, Self Study, Group Study, | |
| 4 | To understand image processing, inspecting basis image processing techniques | Discussion, Self Study, Group Study, Sightseeing, Lecture, | |
| 5 | To use image processing, writing basic image processing algorithms and inspect results | Discussion, Lab / Workshop, Sightseeing, Self Study, | |
| 6 | To implement image processing methods, design a system and interpret results | Discussion, Sightseeing, Observation, Problem Solving, |
| Week | Course Topics | Preliminary Preparation |
|---|---|---|
| 1 | The origins of digital image processing | |
| 2 | Elements of visual perception, Light and the Electromagnetic Spectrum | |
| 3 | Image Sensing and Acquisition, Image Sampling and Quantization | |
| 4 | Image analysis in Matlab | |
| 5 | Some Basic Relationships Between Pixels | |
| 6 | Image Enhancement in the Spatial Domain | |
| 7 | Histogram Processing | |
| 8 | Enhancement Using Arithmetic/Logic Operations | |
| 9 | Basics of Spatial Filtering | |
| 10 | Smoothing Spatial Filters | |
| 11 | Sharpening Spatial Filters | |
| 12 | Combining Spatial Enhancement Methods | |
| 13 | Matlab applications | |
| 14 | Matlab applications |
| Resources | |
|---|---|
| Course Notes | |
| Course Resources | |
| Order | Program Outcomes | Level of Contribution | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | To have latest knowledge and skills intended for research and practice in electronic technology | X | |||||
| 2 | To utilize equipments and instruments used in electronic technology | X | |||||
| 3 | To develop curriculum related to electronic technology and have a skill to transfer those accumulation by oral and written way | X | |||||
| 4 | To have knowledge and skills for planning, designing and managing procedures independently or in cooperation | X | |||||
| 5 | To have an open mind to ethic auditing and positive criticism, and have a constructive and interpreting attitude against scientific and social problems | X | |||||
| 6 | To disseminate and realize the environmental awareness | ||||||
| 7 | To cooperate with social organizations and the society | ||||||
| 8 | To contribute to the education of people who work under his/her responsibility and to manage some activities for their vocational careers and social rights | ||||||
| 9 | To appropriate self learning and life- long learning principles | ||||||
| 10 | To congregate in national or international scale to see individual applications on the premises and to perform some activities and mobility for professional advancement in electronic technology | ||||||
| # | Contribution of Course Learning Outcomes to Program Outcomes | PÇ 1 | PÇ 2 | PÇ 3 | PÇ 4 | PÇ 5 | PÇ 6 | PÇ 7 | PÇ 8 | PÇ 9 | PÇ 10 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | To inspect image acquisition systems, design systems | ||||||||||
| 2 | To understand image acquisition in human vision system, learn color models and associate with vision systems | ||||||||||
| 3 | To understand digital image, knowing fundamental of digital image components | ||||||||||
| 4 | To understand image processing, inspecting basis image processing techniques | ||||||||||
| 5 | To use image processing, writing basic image processing algorithms and inspect results | ||||||||||
| 6 | To implement image processing methods, design a system and interpret results |
| Evaluation System | |
|---|---|
| Semester Studies | Contribution Rate |
| 1. Ara Sınav | 65 |
| 1. Kısa Sınav | 5 |
| 1. Ödev | 25 |
| 2. Kısa Sınav | 5 |
| Total | 100 |
| 1. Yıl İçinin Başarıya | 50 |
| 1. Final | 50 |
| Total | 100 |
| ECTS - Workload Activity | Quantity | Time (Hours) | Total Workload (Hours) |
|---|---|---|---|
| Course Duration (Including the exam week: 16x Total course hours) | 16 | 3 | 48 |
| Hours for off-the-classroom study (Pre-study, practice) | 16 | 2 | 32 |
| Mid-terms | 1 | 10 | 10 |
| Assignment | 1 | 15 | 15 |
| Performance Task (Laboratory) | 1 | 20 | 20 |
| Total Workload | 125 | ||
| Total Workload / 25 (Hours) | 5 | ||
| dersAKTSKredisi | 5 | ||