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Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
DIGITAL IMAGE PROCESSING BSM 603 0 3 + 0 3 6
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi Doktora
Dersin Türü SECMELI
Dersin Koordinatörü Doç.Dr. DEVRİM AKGÜN
Dersi Verenler Doç.Dr. DEVRİM AKGÜN
Dersin Yardımcıları
Dersin Kategorisi
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

Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 - 1 - 2 - 16 - A - C - D -
2 - 1 - 2 - 16 - A - C - D -
3 - 1 - 2 - 16 - A - C - D -
Öğretim Yöntemleri: 1:Lecture 2:Question-Answer 16:Project Based Learning
Ölçme Yöntemleri: A:Testing C:Homework D:Project / Design

Ders Akışı

Hafta Konular ÖnHazırlık
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.


Döküman Paylaşımı


Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
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

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 50
ProjeTasarim 1 30
KisaSinav 1 10
Odev 1 10
Toplam 100
Yıliçinin Başarıya Oranı 50
Finalin Başarıya Oranı 50
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 3 48
Mid-terms 1 10 10
Quiz 1 5 5
Assignment 1 5 5
Project / Design 1 15 15
Final examination 1 20 20
Toplam İş Yükü 151
Toplam İş Yükü /25(s) 6.04
Dersin AKTS Kredisi 6.04
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