GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
FUZZY LOGIC BASED IMAGE PROCESSING/5031333
Course Title: FUZZY LOGIC BASED IMAGE PROCESSING
Credits 3 ECTS 7.5
Course Semester 1 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
General information about fuzzy logic and image processing.
Fuzzy color space.
Color similarity
Image segmentation. Fuzzy logic based image segmentation.
Fuzzy logic based image filter.
 -- MODE OF DELIVERY
  Face to face course, writing codes and applications
 --WEEKLY SCHEDULE
1. Week  General information about fuzzy logic and image processing
2. Week  Fuzzy color space
3. Week  Color similarity
4. Week  Rule-based gradient calculation
5. Week  Edge detection
6. Week  Threshold selection methods
7. Week  Image segmentation methods
8. Week  Midterm exam, K-means algorithm
9. Week  Fuzzy C-means algorithm
10. Week  Rule-based segmentation
11. Week  Rule-based segmentation
12. Week  Rule-based filter design
13. Week  Nonlinear filters:diffusion filter
14. Week  Rule-based diffusion filter design
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
20
 Assignment
2
20
 Application
0
0
 Projects
1
20
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
60
 Percentage of Final Exam to Total Score  
40
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
3
42
 Weekly Tutorial Hours
0
 Reading Tasks
14
3
42
 Searching in Internet and Library
14
2
28
 Material Design and Implementation
10
2
20
 Report Preparing
2
10
20
 Preparing a Presentation
0
0
0
 Presentation
0
0
0
 Midterm Exam and Preperation for Midterm Exam
2
10
20
 Final Exam and Preperation for Final Exam
2
10
20
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
192
 TOTAL WORKLOAD / 25: 
7.68
 Course Credit (ECTS): 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1X
2X
3X
4X
5X
6X
7X
8X
9X
10X
11X
12X
 -- NAME OF LECTURER(S)
   (Prof. Dr. Recep Demirci)
 -- WEB SITE(S) OF LECTURER(S)
   (http://websitem.gazi.edu.tr/site/rdemirci)
 -- EMAIL(S) OF LECTURER(S)
   (rdemirci@gazi.edu.tr)