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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
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

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.

Döküman Paylaşımı


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
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