GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
IMAGE PROCESSING TECHNIQUES/5421330
Course Title: IMAGE PROCESSING TECHNIQUES
Credits 3 ECTS 7.5
Course Semester 2 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
To learn concepts of digital images.
To learn the methods used for spatial and frequency plane analysis of the gray level and color digital images.
To solve the problems related to image processing and create the necessary infrastructure for the projects to be developed for image analysis.

 -- MODE OF DELIVERY
  The mode of delivery of this course is face to face
 --WEEKLY SCHEDULE
1. Week  Introduction to Image Processing
2. Week  Fundamentals of Digital Image
3. Week  Mathematical Operations in Image Processing
4. Week  Intensity Transformations and Histogram Processing
5. Week  Image Smoothing and Sharpening by Spatial Filtering
6. Week  Fourier Transform and Its Applications in Image Processing
7. Week  Image Smoothing and Sharpening by Frequency Domain Filtering
8. Week  Noise Models and Noise Reduction by Spatial Filtering, Midterm exam
9. Week  Noise Reduction by Frequency Domain Filtering
10. Week  Color Models, Pseudocolor Image Processing and Color Transformations
11. Week  Smoothing, Sharpening, and Segmentation of Color Images
12. Week  Morphological Image Processing
13. Week  Image Segmentation
14. Week  Presentations of term projects
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
30
 Assignment
2
10
 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
10
4
40
 Material Design and Implementation
6
3
18
 Report Preparing
3
2
6
 Preparing a Presentation
3
5
15
 Presentation
3
3
9
 Midterm Exam and Preperation for Midterm Exam
1
13
13
 Final Exam and Preperation for Final Exam
1
15
15
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
200
 TOTAL WORKLOAD / 25: 
8
 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
13X
 -- NAME OF LECTURER(S)
   (Asst. Prof. Dr. Ayşe DEMİRHAN)
 -- WEB SITE(S) OF LECTURER(S)
   (https://websitem.gazi.edu.tr/site/ayseoguz , https://abs.gazi.edu.tr/ayseoguz)
 -- EMAIL(S) OF LECTURER(S)
   (ayseoguz@gazi.edu.tr)