| Ders Adı | Kodu | Yarıyıl | T+U Saat | Kredi | AKTS |
|---|---|---|---|---|---|
| Dıgıtal Image Processıng | BSM 603 | 0 | 3 + 0 | 3 | 6 |
| Ön Koşul Dersleri | |
| Önerilen Seçmeli Dersler | |
| Dersin Dili | Türkçe |
| Dersin Seviyesi | Doktora |
| Dersin Türü | Seçmeli |
| Dersin Koordinatörü | Prof.Dr. DEVRİM AKGÜN |
| Dersi Verenler | |
| Dersin Yardımcıları | |
| Dersin Kategorisi | Diğer |
| Dersin Amacı | The aim of this course is to teach image processing methods and to realize their algorithms with open source software. |
| Dersin İçeriği | Introduction to image processing, gray level, binary and color image processing techniques. Digitization and quantization. Noise reduction algorithms. Edge detection algorithms and edge sharpening. Image segmentation. Thresholding and automatic threshold value selection methods. Morphological and other regional operators. Image enhancement and repair. Histogram equalization. Image processing applications |
| # | Ders Öğrenme Çıktıları | Öğretim Yöntemleri | Ölçme Yöntemleri |
|---|---|---|---|
| 1 | Lecture, Question-Answer, Project Based Learning, | Testing, Homework, Project / Design, | |
| 2 | Lecture, Question-Answer, Project Based Learning, | Testing, Homework, Project / Design, | |
| 3 | Lecture, Question-Answer, Project Based Learning, | Testing, Homework, Project / Design, |
| Hafta | Ders Konuları | Ön Hazırlık |
|---|---|---|
| 1 | Introduction to image processing, OpenCV examples using Python | |
| 2 | Threshold, automatic threshold value selection methods | |
| 3 | Image filtering with two-dimensional convolution | |
| 4 | Gaussian, Median and bilateral filters | |
| 5 | Edge detection | |
| 6 | Morphological transformations | |
| 7 | Image Pyramids | |
| 8 | Contours | |
| 9 | Histogram operations | |
| 10 | Image enhancement | |
| 11 | Object recognition methods | |
| 12 | Object recognition methods | |
| 13 | Image segmentation | |
| 14 | Project presentations |
| Kaynaklar | |
|---|---|
| Ders Notu | |
| Ders Kaynakları | Gonzalez C. R., Woods E. R., Digital Image Processing, Pearson Education 2008 3rd ed. McAndrew, Alasdair. A computational introduction to digital image processing. Chapman and Hall/CRC, 2015. Wilhelm, Burger, and J. Burge Mark. "Principles of digital image processing: core algorithms." 2009 Solem, Jan Erik.Programming Computer Vision with Python: Tools and algorithms for analyzing images. " O'Reilly Media, Inc.", 2012. |
| Sıra | Program Çıktıları | Katkı Düzeyi | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of study | X | |||||
| 2 | ability to complete and implement “limited or incomplete data” by using the scientific methods. | X | |||||
| 3 | ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them | X | |||||
| 4 | ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process | X | |||||
| 5 | gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering | X | |||||
| 6 | ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply process | X | |||||
| 7 | gain high level ability to define the required information and data | X | |||||
| 8 | ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations | X | |||||
| 9 | systematic and clear verbal or written transfer of the process and results of studies at national and international environments | X | |||||
| 10 | aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation and announcement | X | |||||
| 11 | aware of new and developing application of profession and ability to analyze and study on those applications | X | |||||
| 12 | ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment | X | |||||
| Değerlendirme Sistemi | |
|---|---|
| Yarıyıl Çalışmaları | Katkı Oranı |
| 1. Ara Sınav | 50 |
| 1. Proje / Tasarım | 30 |
| 1. Kısa Sınav | 10 |
| 1. Ödev | 10 |
| Toplam | 100 |
| 1. Yıl İçinin Başarıya | 50 |
| 1. Final | 50 |
| Toplam | 100 |
| AKTS - İş Yükü Etkinlik | Sayı | Süre (Saat) | Toplam İş Yükü (Saat) |
|---|---|---|---|
| Course Duration (Including the exam week: 16x Total course hours) | 16 | 3 | 48 |
| Hours for off-the-classroom study (Pre-study, practice) | 16 | 3 | 48 |
| Mid-terms | 1 | 10 | 10 |
| Assignment | 1 | 5 | 5 |
| Final examination | 1 | 20 | 20 |
| Quiz | 1 | 5 | 5 |
| Project / Design | 1 | 15 | 15 |
| Toplam İş Yükü | 151 | ||
| Toplam İş Yükü / 25 (Saat) | 6,04 | ||
| Dersin AKTS Kredisi | 6 | ||