Information Package / Course Catalogue
Image Processing
Course Code: EEE571
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 2
Credit: 3
Lab: 0
ECTS: 6
Objectives of the Course

Objectives of this course are; to make the student identify image processing methods, comprehend importance of using computer in image processing and develop image processing algorithms.

Course Content

Digital images Resolution, bit-depth, physical image size Simple image processing methods Arithmetic image processing Histogram, spatial filtering Image processing in RGB Improvement of images in Frequency domain Filtering images in frequency domain Morphological processes Segmentation and coding

Name of Lecturer(s)
Learning Outcomes
1.To be able to make gray-level conversion calculations for image enhancement, calculate the histogram of a picture and comprehend the picture synchronization method
2.To be able to comprehend filtering methods and develop algorithms in spatial and frequency domains.
3.To be able to calculate the 2-dimensional Fourier transform of a picture, to calculate two-dimensional convolution, to analyse and apply it for filtering in the frequency domain.
4.To be able to comprehend the basics of mathematical morphology and apply to image processing
5.Being able to follow the research topics developing in the field of Image Processing; To be able to make presentations by preparing short seminars on this subject. To gain experience in reading and writing articles.
Recommended or Required Reading
1.Digital Image Processing 3rd Edition (DIP/3e), Rafael C. Gonzalez, Richard E. Woods, Prentice Hall,2008.
2.Digital Image Processing Using MATLAB, Rafael C. Gonzalez, Richard E. Woods, Steven L. Eddins, Prentice Hall, 2004
Weekly Detailed Course Contents
Week 1 - Theoretical & Practice
What is Image Processing?
Week 2 - Theoretical & Practice
Basic Steps in Image Processing and Digital Image Presentation
Week 3 - Theoretical & Practice
Basic of Color Image Processing
Week 4 - Theoretical & Practice
Sampling and Quantization
Week 5 - Theoretical & Practice
Discrete and Fast Fourier Transform
Week 6 - Theoretical & Practice
Spatial Filtering
Week 7 - Theoretical & Practice
Enhancement of Image in Frequency Domain
Week 8 - Theoretical & Practice
Repeat chapters, Midterm Exam.
Week 9 - Theoretical & Practice
Wavelet Transform
Week 10 - Theoretical & Practice
Wavelet Transform
Week 11 - Theoretical & Practice
Thresholding, Edge Detection
Week 12 - Theoretical & Practice
Segmentation
Week 13 - Theoretical & Practice
Morphological Properties
Week 14 - Theoretical & Practice
Principal Component Analysis
Assessment Methods and Criteria
Type of AssessmentCountPercent
Assignment2%10
Term Assignment1%5
Midterm Examination1%15
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142256
Lecture - Practice142256
Assignment23312
Term Project1718
Project110212
Midterm Examination1516
TOTAL WORKLOAD (hours)150
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
OÇ-1
3
3
3
3
4
3
4
OÇ-2
4
4
4
3
5
4
3
OÇ-3
3
3
5
5
5
4
3
OÇ-4
3
3
3
3
4
3
4
OÇ-5
3
3
3
3
4
3
4
Adnan Menderes University - Information Package / Course Catalogue
2026