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FACULTY of ENGINEERING / DEPARTMENT of ELECTRICAL and ELECTRONICS ENGINEERING / (30%) English
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ELK4009Image Processing2+0+0ECTS:4
Year / SemesterFall Semester
Level of CourseFirst Cycle
Status Elective
DepartmentDEPARTMENT of ELECTRICAL and ELECTRONICS ENGINEERING
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face
Contact Hours14 weeks - 2 hours of lectures per week
LecturerProf. Dr. Ali GANGAL
Co-LecturerProf. Dr. Temel KAYIKÇIOĞLU
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
The objective of this course is to give the student fundamental knowledge of the major topics of digital image processing: representation, processing techniques, and communication. Students will confirmate of their theoretical knowledge by computer simulations using MATLAB.
 
Learning OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
LO - 1 : understand image acquisition and image definition1,3,51
LO - 2 : do image enhancement in spatial domain and frequency domain1,3,51
LO - 3 : do color image processing applications1,3,51
LO - 4 : do image and video compression1,3,5,151
LO - 5 : design image communications systems1,3,5,151
LO - 6 : preform examples from all topics in Matlab environment1,3,5,151
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
Introduction. Digital Image Fundamentals. Image Enhancement in the Spatial Domain. Image Enhancement in the Frequency Domain. Image Restoration. Color Image Processing. Image Compression. Image communications systems. Image processing applications using MATLAB.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Introduction. Digital image fundamentals.
 Week 2Image enhancement.
 Week 3 Image enhancement.
 Week 4Image restoration.
 Week 5 Image restoration.
 Week 6Image restoration.
 Week 7Image restoration.
 Week 8 Color image processing.
 Week 9Mid-term exam
 Week 10 Color image processing.
 Week 11Color image processing.
 Week 12Image compression.
 Week 13 Image compression.
 Week 14 Image segmentation.
 Week 15Image segmentation.
 Week 16End-of-term exam
 
Textbook / Material
1Gonzalez, G. C., Woods, R. E., "Digital Image Processing", Prentice Hall, 2002.
 
Recommended Reading
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 18/11/2017 2 30
Homework/Assignment/Term-paper 14 23/12/2017 10 20
End-of-term exam 16 08/01/2018 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 3 14 42
Sınıf dışı çalışma 4 14 56
Arasınav için hazırlık 5 1 5
Arasınav 2 1 2
Ödev 10 1 10
Dönem sonu sınavı için hazırlık 5 1 5
Dönem sonu sınavı 2 1 2
Total work load122