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Course
Description
ELK5800
Advanced Image Processing
Introduction. Digital Image Fundamentals. Image Enhancement in
the Spatial Domain. Image Enhancement in the Frequency Domain. Image
Restoration. Color Image Processing. Wavelets and Multiresolution
Processing. Image Compression. Morphological Image Processing. Image
Segmentation. Representation and Description. Object Recognition. 3D
vision Models.
ELK5800 İleri Görüntü İşleme
Giriş. Sayısal görüntünün temelleri.
Uzamsal domende görüntü iyileştirme. Frekans domeninde görüntü
iyileştirme. Görüntü onarma. Renkli görüntü işleme. Dalgacık ve
çoklu çözünürlüklü işleme. Görüntü sıkıştırma. Morfolojik görüntü
işleme. Görüntü bölütleme. Gösterim ve tanımlama. Cisim tanıma. Üç
boyutlu görme modelleri.
Prerequisites:
ELK207 (or BIL202), ELKH405, MATLAB Experience
Instructor:
Assist. Prof. Dr. Ali
Gangal
Office Tel:
+90(462)3772990
E-mail:
ali.gangal@ktu.edu.tr
aligangal@aligangal.com
Textbook:
1-
Gonzalez, R. C., Woods, R. E., "Digital
Image Processing", Pearson Prentice Hall, 2008.
2-Power
point presentation:
www.aligangal.ktu.edu.tr/dersler/image
3-Lecture
notes:
To be delivered during the lectures.
Recommended Reading:
1-Gonzalez,
G. C., Woods, R. E., Eddins, S. L., “Digital
Image Processing using MATLAB”, Prentice Hall, 2004.
Grading: Midterm-1 30 %
Midterm-2 30 %
Final 40 %
Make-up Policy:
Only one make-up examination will be given to those who miss any of
the midterms or the final. The student who wishes to take the make-up
exam must provide a valid excuse after the missed exam.
NG Policy:
NG grade will be given to students who do not attend more
than 70% of the course lecture hours, miss the exams and fail.
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