Information Systems Engineering
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Ders Genel Tanıtım Bilgileri

Course Code: FET311
Ders İsmi: Digital Image Processing
Ders Yarıyılı: Spring
Ders Kredileri:
Theoretical Practical Laboratory ECTS
2 1 0 5
Language of instruction: Turkish
Ders Koşulu:
Ders İş Deneyimini Gerektiriyor mu?: No
Type of course: Bölüm Seçmeli
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery:
Course Coordinator : Asst. Prof. Dr. GÖKALP TULUM
Course Lecturer(s): Asst. Prof. Dr. GÖKALP TULUM
Assoc. Prof. Dr. CEVAT RAHEBİ
Course Assistants:

Dersin Amaç ve İçeriği

Course Objectives: The aim of this course is to explain to students the effects of image processing on human history and to help students adapt to these technologies by introducing them to basic image processing technologies. Students who complete this course are expected to understand the historical and conceptual development of image processing, the purposes of image processing and the methods used to achieve these goals, the social and economic role of image processing, and to have knowledge about the areas in which image processing methods can be used.
Course Content: Image processing overview, purpose of image processing, basic problems, methods of image processing, developments in image processing, applications of image processing in different sectors, social role of image processing, ethics in image processing and prejudices against image processing.

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Ders Akış Planı

Week Subject Related Preparation
1) Digital Image Fundamentals
2) Image Enhancement
3) Image Transforms
4) Color Image Processing
5) Image Restoration
6) Image Segmentation – 1
7) Image Segmentation – 2
8) Midterm exam
9) Image Representation and Description
10) Feature Extraction
11) Motion Analysis
12) Video Image Processing
13) Pattern Recognition
14) Image Compression
15) Project Presentations
16) Final exam

Sources

Course Notes / Textbooks: Gonzalez, Rafael C., Richard E. Woods, and Barry R. Masters. "Digital image processing." (2009): 029901-029901.
References: Gonzalez, Rafael C., Richard E. Woods, and Barry R. Masters. "Digital image processing." (2009): 029901-029901.

Ders - Program Öğrenme Kazanım İlişkisi

Ders Öğrenme Kazanımları
Program Outcomes

Ders - Öğrenme Kazanımı İlişkisi

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Attendance 14 % 20
Application 2 % 10
Homework Assignments 2 % 10
Presentation 2 % 10
Project 2 % 10
Seminar 1 % 10
Midterms 1 % 10
Final 1 % 20
total % 100
PERCENTAGE OF SEMESTER WORK % 80
PERCENTAGE OF FINAL WORK % 20
total % 100