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OF FACULTY of TECHNOLOGY / DEPARTMENT of SOFTWARE ENGINEERING

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YZM3032Image Processing2+0+0ECTS:4
Year / SemesterSpring Semester
Level of CourseFirst Cycle
Status Elective
DepartmentDEPARTMENT of SOFTWARE ENGINEERING
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face, Practical
Contact Hours14 weeks - 2 hours of lectures per week
LecturerDr. Öğr. Üyesi Asuman GÜNAY YILMAZ
Co-Lecturer
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
The aim of the course is to teach the students basic image processing methods and algorithms in spatial and frequency domains, to solve the image processing problems they encounter in real life, to gain the ability to develop applications for image enhancement, compression, segmentation and recognition.
 
Learning OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
LO - 1 : Know basic concepts and approaches related to image processing1,3,8,12
LO - 2 : Know image color spaces, image formats, image compression algorithms1,3,8,12
LO - 3 : Apply image filtering, enhancement, segmentation algorithms1,3,8,12
LO - 4 : Learn morphological image processing algorithms.1,3,8,12
LO - 5 : Understands the methods of extracting features from images.1,3,8,12
LO - 6 : Gain the ability to develop image processing applications to solve a specific problem1,3,8,12
CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome

 
Contents of the Course
Digitization of the analog signal, sampling, quantification, Creation of 2D images, resolution, bit-depth, concepts, convolution, Color spaces and image storage / compression formats, Image filtering, blurring, edge detection, sharpening, Methods of image enhancement, histogram equalization / matching, Image segmentation,  Frequency domain image processing, FFT, DCT transformations, Morphological image processing, Feature extraction, Image morphing, Image processing applications
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Digitization of the analog signal, sampling, quantification
 Week 2Creation of 2D images, resolution, bit-depth, concepts, convolution
 Week 3Color spaces and image storage / compression formats,
 Week 4Image filtering, blurring, edge detection, sharpening
 Week 5Methods of image enhancement, histogram equalization / matching
 Week 6Image segmentation
 Week 7Frequency domain image processing
 Week 8FFT, DCT transformations
 Week 9Midterm exam
 Week 10Morphological image processing
 Week 11Feature extraction from images
 Week 12Feature extraction from images
 Week 13Image morphing
 Week 14Image processing applications
 Week 15Image processing applications
 Week 16Final exam
 
Textbook / Material
1Rafael C. Gonzales, Richard E. Woods. 1998; Digital Image Processing, Addison-Wesley Publishing Company
 
Recommended Reading
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 2 50
End-of-term exam 16 2 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 2 14 28
Sınıf dışı çalışma 3 14 42
Arasınav için hazırlık 4 5 20
Arasınav 2 1 2
Dönem sonu sınavı için hazırlık 4 5 20
Dönem sonu sınavı 2 1 2
Total work load114