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OFTF
OF FACULTY of TECHNOLOGY / DEPARTMENT of ELECTRONICS and COMMUNICATION ENGINEERING /
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EHM4011Image Processing2+0+0ECTS:4
Year / SemesterFall Semester
Level of CourseFirst Cycle
Status Elective
DepartmentDEPARTMENT of ELECTRONICS and COMMUNICATION ENGINEERING
Prerequisites and co-requisitesNone
Mode of Delivery
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 course aims to teach basic image processing processes for computer vision deals with the processing of image data for use by a computer and to understand to the major applications areas of computer vision and image processing: image analysis, image restoration, image enhancement, and image compression
 
Learning OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
LO - 1 : learn basic image processing processes for computer vision deals with the processing of image data for use by a computer1,41,3,
LO - 2 : understand to the major applications areas of computer vision and image processing: image analysis, image restoration, image enhancement, and image compression.1,41,3,
LO - 3 : apply the image processing algorithms and implementation of them for different real practical applications1,41,3,
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 analog signals, basics of digital image processing, basic transformation and filtering methods in image processing, image enhancement approaches, image processing techniques in spatial and frequency domains, basic techniques of image reconstruction, morphological operations, segmentation and object recognition
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Digitization of analog signals
 Week 2Introduction to digital image processing
 Week 3Basic methods in image processing
 Week 4Image enhancement methods - Contrast stretching
 Week 5Image enhancement methods- Histogram equalization
 Week 6Color transformations
 Week 7Spatial image processing
 Week 8Spatial image processing
 Week 9Midterm exam
 Week 10Image segmentation
 Week 11Image segmentation
 Week 12Morphological operations
 Week 13Morphological operations
 Week 14Image morphing
 Week 15Object recognition
 Week 16Final exam
 
Textbook / Material
1Rafael C. Gonzales, Richard E. Woods. 1998; Digital Image Processing, Addison-Wesley Publishing Company
 
Recommended Reading
1Scott E. Umbaugh, 2005; Computer Imaging: Digital Image Analysis and Processing, A CRC Press Book, Taylor and Francis Group
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 2 35
Homework/Assignment/Term-paper 15 15
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 3 2 6
Arasınav 2 1 2
Ödev 4 5 20
Dönem sonu sınavı için hazırlık 5 2 10
Dönem sonu sınavı 2 1 2
Total work load110