GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
IMAGE PROCESSING/5061329
Course Title: IMAGE PROCESSING
Credits 3 ECTS 7.5
Semester 1 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
Understanding digital image processinG
Choosing appropiate methods when solving newly encountered problems
Obtaining necessary background for further studies
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 -- 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  Image compression
16. Week  Morphological image processing.
 -- RECOMMENDED OR REQUIRED READING
  1. Digital Image Processing, 2. Edition, R.C. Gonzalez, R.E. Woods, Prentice Hall, 2002. 2. Digital Image Processing Using MATLAB, R.C. Gonzalez, R.E. Woods, S.L. Eddins, Prentice Hall, 2004.
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Practise
 -- WORK PLACEMENT(S)
  NO
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
30
 Assignment
1
30
 Exercises
1
30
 Projects
1
10
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
60
 Contribution of Final Examination to Overall Grade  
40
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
3
14
42
 Practising Hours of Course Per Week
0
 Reading
1
14
14
 Searching in Internet and Library
1
14
14
 Designing and Applying Materials
1
14
14
 Preparing Reports
1
14
14
 Preparing Presentation
1
14
14
 Presentation
2
25
50
 Mid-Term and Studying for Mid-Term
0
 Final and Studying for Final
1
30
30
 Other
0
 TOTAL WORKLOAD: 
192
 TOTAL WORKLOAD / 25: 
7.68
 ECTS: 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Can improve his computer engineering knowledgeX
2Can acknowledge the multidiciplinary aspects of computer engineeringX
3Can use his computer engineering knowledgeX
4Can acknowledge the multidiciplinary aspects of computer engineeringX
5Can use his computer engineering knowledge to solve problemsX
6Can define computer engineering problemsX
7Can propose solutions to computer engineering problemsX
8Can solve computer engineering problemsX
9Can evaluate solutions using qualtiy metricsX
10Can come up with new approaches to application problemsX