GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
IMAGE PROCESSING/5131310
Course Title: IMAGE PROCESSING
Credits 3 ECTS 8
Semester 2 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Assoc.Prof.Dr. Hasan Şakir BİLGE
 -- WEB SITE(S) OF LECTURER(S)
  w3.gazi.edu.tr/~bilge
 -- EMAIL(S) OF LECTURER(S)
  bilge@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Learning image processing
Ability to apply algorithms of image processing
Removing noise from images
Enhance and restore images
Filtering in frequency domain
Learning image compression techniques
Processing color images
Ability to apply morphologic operations
 -- MODE OF DELIVERY
  The mode of delivery of this course is distance learning.
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course.
 --COURSE CONTENT
1. Week  General introduction
2. Week  Introduction to digital image processing
3. Week  Digital image fundamentals
4. Week  Sampling and quantization
5. Week  Image enhancement
6. Week  Image enhancement
7. Week  Histogram processing
8. Week  Histogram processing
9. Week  Filters
10. Week  The Fourier transform and the frequency Domain
11. Week  Image restoration
12. Week  Image restoration
13. Week  Noise models
14. Week  Color image processing
15. Week  
16. Week  
 -- RECOMMENDED OR REQUIRED READING
  1. Digital Image Processing, R.C. Gonzalez, R.E. Woods, Prentice Hall. 2. Digital Image Processing Using MATLAB, R.C. Gonzalez, R.E. Woods, S.L. Eddins, Prentice Hall.
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Practise.
 -- WORK PLACEMENT(S)
  No
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
0
0
 Assignment
9
30
 Exercises
1
30
 Projects
1
30
 Practice
1
10
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
30
 Contribution of Final Examination to Overall Grade  
70
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
14
3
42
 Practising Hours of Course Per Week
0
 Reading
14
1
14
 Searching in Internet and Library
14
1
14
 Designing and Applying Materials
14
1
14
 Preparing Reports
1
30
30
 Preparing Presentation
14
1
14
 Presentation
2
14
28
 Mid-Term and Studying for Mid-Term
0
 Final and Studying for Final
1
32
32
 Other
0
 TOTAL WORKLOAD: 
188
 TOTAL WORKLOAD / 25: 
7.52
 ECTS: 
8
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Improves and deepens the field knowledge at an expert level based on undergraduate proficiency.X
2Comprehends the interactions between the computer science and other related disciplines.X
3Uses expert level theoretical and practical knowledge acquired in the computer science field.X
4Creates new knowledge by integrating the computer science knowledge and the knowledge from related disciplines.X
5Defines a problem in the computer science field.X
6Analyses the problems in the computer science field by using scientific research methods.X
7Proposes solutions to the problems in the computer science field.X
8Solves problems in the computer science field.X
9Evaluates the results within perspectives of quality processes.X
10Develops new approaches and methods by taking responsibility in complex situations in the application stages.X