Ders Bilgileri
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Ders Tanımı
| Ders | Kodu | Yarıyıl | T+U Saat | Kredi | AKTS |
|---|---|---|---|---|---|
| IMAGE PROCESSING FOR MECHATRONICS ENGINEERS | MEK 517 | 0 | 3 + 0 | 3 | 6 |
| Ön Koşul Dersleri | |
|---|---|
| Önerilen Seçmeli Dersler |
| Dersin Dili | Türkçe |
| Dersin Seviyesi | Yüksek Lisans |
| Dersin Türü | SECMELI |
| Dersin Koordinatörü |
Prof.Dr. RAŞİT KÖKER |
| Dersi Verenler | |
| Dersin Yardımcıları | Res. Asst. Ziya EKŞİ |
| Dersin Kategorisi | |
| Dersin Amacı |
To learn the Image Processing basics, To understand the pattern recognition methods.
|
| Dersin İçeriği |
Introduction to digital image processing, two-dimensional systems, image enhancement, image coding and compression, image recognition , recognition and classification, image segmentation, advanced image recognition applications
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| Dersin Öğrenme Çıktıları | Öğretim Yöntemleri | Ölçme Yöntemleri |
| 1 - Recognizes the components of an image. | 1 - | A - C - |
| 2 - Knows the image enhancement and restoration method | 2 - 1 - | A - |
| 3 - Uses the Image coding and compression | 1 - | A - C - |
| 4 - Have information about the image recognition procedures | 2 - 1 - | A - D - |
| 5 - Uses the classification techniques | 16 - 1 - | A - D - |
| 6 - Performs image recognition application using segmentation techniques | 16 - 1 - | A - D - |
| Öğretim Yöntemleri: | 16:Project Based Learning 1:Lecture 2:Question-Answer |
| Ölçme Yöntemleri: | A:Testing D:Project / Design C:Homework |
Ders Akışı
| Hafta | Konular | ÖnHazırlık |
|---|---|---|
| 1 | Introduction to digital image processing | |
| 2 | Two-dimensional systems image segmentation, advanced image recognition applications | |
| 3 | Image enhancement | |
| 4 | Image coding | |
| 5 | Image compression | |
| 6 | Introduction to Pattern Recognition | |
| 7 | Recognition and classification | |
| 8 | Recognition and classification | |
| 9 | Segmentation | |
| 10 | Segmentation | |
| 11 | Advanced Pattern Recognition Applications | |
| 12 | Advanced Pattern Recognition Applications | |
| 13 | Advanced Pattern Recognition Applications | |
| 14 | Advanced Pattern Recognition Applications |
Kaynaklar |
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|---|---|---|
| Ders Notu | ||
| Ders Kaynakları |
1. R. C. Gonzalez and P. Wintz, ?Digital Image Processing?, Second Edition, Addison-Wesley Publishing, 1987. 2. K. Castlemann. ?Digital Image Processing?, Prentice Hall of India Ltd., 1996. 3. A. K. Jain, ?Fundamentals of Digital Image Processing?, Prentice Hall of India Pvt. Ltd., 1995. 4. Sing Tze Bow, M. Dekker, ?Pattern Recognition and Image Processing?, 1992 5. M. James, ?Pattern Recognition?, BSP professional books, 1987. 6. P. Monique and M. Dekker, ?Fundamentals of Pattern Recognition?, 1989. |
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Döküman Paylaşımı |
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Dersin Program Çıktılarına Katkısı
| No | Program Öğrenme Çıktıları | KatkıDüzeyi | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
Değerlendirme Sistemi
| YARIYIL İÇİ ÇALIŞMALARI | SIRA | KATKI YÜZDESİ |
|---|---|---|
| KisaSinav | 1 | 10 |
| Odev | 1 | 15 |
| ProjeTasarim | 1 | 35 |
| AraSinav | 1 | 40 |
| Toplam | 100 | |
| Yıliçinin Başarıya Oranı | 60 | |
| Finalin Başarıya Oranı | 40 | |
| Toplam | 100 |
AKTS - İş Yükü
| Etkinlik | Sayısı | Süresi(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 | 4 | 64 |
| Mid-terms | 1 | 8 | 8 |
| Quiz | 1 | 2 | 2 |
| Assignment | 1 | 6 | 6 |
| Project / Design | 1 | 10 | 10 |
| Final examination | 1 | 10 | 10 |
| Toplam İş Yükü | 148 | ||
| Toplam İş Yükü /25(s) | 5.92 | ||
| Dersin AKTS Kredisi | 5.92 |