Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
IMAGE PROCESSING 805101725091 3 + 0 3.0 8.0

Prerequisites None

Language of Instruction English
Course Level Graduate Degree
Course Type Elective
Mode of delivery
Course Coordinator
Instructors Gazi Erkan BOSTANCI
Assistants
Goals This course aims to provide an introduction to image processing techniques used in real world problems.
Course Content Image acquisition, enhancement, filtering, morphological operations
Learning Outcomes 1) Understands how digital images are represented.
2) Performs image enhancement.
3) Detect structural defects in images.

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Introduction Lecture

 Presentation (Including Preparation Time)
2. Week Image Processing Fundamentals Lecture

 Presentation (Including Preparation Time)
3. Week Image Enhancement Lecture

 Presentation (Including Preparation Time)
4. Week Spatial Filtering I Question Answer

 Presentation (Including Preparation Time)
5. Week Spatial Filtering II Lecture

 Presentation (Including Preparation Time)
6. Week Frequency Filtering I Lecture

 Presentation (Including Preparation Time)
7. Week Frequency Filtering II Lecture

 Presentation (Including Preparation Time)
8. Week Segmentation I Lecture

 Presentation (Including Preparation Time)
9. Week Segmentation I Lecture

 Presentation (Including Preparation Time)
10. Week Segmentation II Lecture

 Presentation (Including Preparation Time)
11. Week Morphology Lecture

 Presentation (Including Preparation Time)
12. Week Colour Images Lecture

 Presentation (Including Preparation Time)
13. Week Compression Lecture

 Presentation (Including Preparation Time)
14. Week Review Lecture

 Presentation (Including Preparation Time)

Sources Used in This Course
Recommended Sources
Gonzales & Woods, Digital Image Processing

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3
PY55555
PY145555
PY155555

*DK = Course's Contrubution.
0 1 2 3 4 5
Level of contribution None Very Low Low Fair High Very High
.

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 14 3
Work Hour outside Classroom (Preparation, strengthening) 14 10
Homework 2 20
Final Exam 1 1
Time to prepare for Final Exam 1 20
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
Quick Access Hızlı Erişim Genişlet
Course Information
  • Course Information
  • Weekly Topics (Content)
  • Sources Used in This Course
  • Relations with Education Attainment Program Course Competencies
  • ECTS credits and course workload