Information Package / Course Catalogue
Fundamentals of Image Processing
Course Code: CSE307
Course Type: Area Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: English
Work Placement: N/A
Theory: 2
Prt.: 2
Credit: 3
Lab: 0
ECTS: 6
Objectives of the Course

The goal of this course is to introduce to students the basic theory and recent important topics related to digital image processing.

Course Content

To gain the ability to about probability and statistics, signal processing and image processing.

Name of Lecturer(s)
Lec. Mahmut SİNECEN
Learning Outcomes
1.Develop image processing algorithms to enhance digital images.
2.Decide which method is appropriate to tackle a given image processing problem.
3.Develop image processing algorithms for automatic target detection applications
4.Identify and exploit analogies between the mathematical tools used for 1D and 2D signal analysis and processing
5.Analyze 2D signals in the frequency domain through the Fourier transform
6.Implement digital image processing methods in MATLAB (or an equivalent programming language) based on a given algorithmic description or theory
Recommended or Required Reading
1.Gonzalez, Rafael C. Digital image processing. Pearson education india, 2009.
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to digital image processing
Week 2 - Theoretical
Intensity transformations and spatial filtering
Week 3 - Theoretical
Intensity transformations and spatial filtering
Week 4 - Theoretical
Filtering in the frequency domain
Week 5 - Theoretical
Filtering in the frequency domain
Week 6 - Theoretical
Geometric transformation
Week 7 - Theoretical
Image segmentation
Week 8 - Theoretical
Image segmentation
Week 9 - Theoretical
Representation and description
Week 10 - Theoretical
Morphological image processing
Week 11 - Theoretical
Morphological image processing
Week 12 - Theoretical
Image restoration
Week 13 - Theoretical
Presentation of term project to class
Week 14 - Theoretical
Presentation of term project to class
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%15
Final Examination1%60
Quiz4%15
Assignment5%5
Project1%5
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142256
Lecture - Practice142142
Laboratory160232
Quiz4014
Midterm Examination1088
Final Examination101010
TOTAL WORKLOAD (hours)152
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
OÇ-1
5
4
4
4
3
OÇ-2
4
5
5
5
5
OÇ-3
3
3
3
3
2
OÇ-4
3
4
4
3
3
OÇ-5
2
3
3
4
3
OÇ-6
3
2
2
3
4
Adnan Menderes University - Information Package / Course Catalogue
2026