Your transaction is in progress.
Please Wait...
Course Details
KTO KARATAY UNIVERSITY
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Electrical and Electronics Engineering
Course Details
Course Code Course Name Year Period Semester T+A+L Credit ECTS
05181826 Digital Image Processing 4 Spring 8 3+0+0 5 5
Course Type Elective
Course Cycle Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6)
Course Language Turkish
Methods and Techniques -
Mode of Delivery Face to Face
Prerequisites -
Coordinator Asst. Prof. Saim ERVURAL
Instructor(s) -
Instructor Assistant(s) -
Course Content
Representation, compression, storage, retrieval of data from different media such as images, text, video and audio. Multimedia file formats, multimedia programming APIs, multimedia applications.
Objectives of the Course
In this course, basic principles and algorithms related to digital image processing systems will be taught. The applications of various subjects in engineering and computer science will be shown.
Contribution of the Course to Field Teaching
Basic Vocational Courses X
Specialization / Field Courses X
Support Courses
Transferable Skills Courses
Humanities, Communication and Management Skills Courses
Relationships between Course Learning Outcomes and Program Outcomes
Relationship Levels
Lowest Low Medium High Highest
1 2 3 4 5
# Program Learning Outcomes Level
P1 Solid knowledge base in mathematics, natural sciences, and engineering-related subjects, along with the ability to solve complex engineering problems using this knowledge. 4
P4 Ability to develop, prefer, and utilize current techniques and tools for analyzing and solving complex problems in engineering applications; proficiency in effectively utilizing information technologies. 5
Course Learning Outcomes
Upon the successful completion of this course, students will be able to:
No Learning Outcomes Outcome Relationship Measurement Method **
O1 Have information about the transformations used in signal processing. P.1.17 1
O2 Fundamentals of biomedical instrumentation P.4.24 1
O3 Biosensors and their working principles P.4.25 1
O4 Medical imaging methods P.4.27 1
O5 Knows digital electronic concepts P.1.63 1
** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7
Weekly Detailed Course Contents
Week Topics
1 Digital Images
2 Image file formats
3 Histograms
4 Point operations
5 Filters
6 Filters
7 Morphological filters
8 Morphological filters
9 Color images
10 Color images
11 Spectral techniques
12 Spectral techniques
13 Multimedia applications
14 Multimedia applications
Textbook or Material
Resources Gonzalez, Rafael C. ‘Digital Image Processing using MATLAB'2nd Edition, Mcgraw Hill, 2010
Evaluation Method and Passing Criteria
In-Term Studies Quantity Percentage
Attendance - -
Laboratory - -
Practice - -
Homework - -
Presentation - -
Projects - -
Quiz - -
Listening - -
Midterms 1 40 (%)
Final Exam 1 60 (%)
Total 100 (%)
ECTS / Working Load Table
Quantity Duration Total Work Load
Course Week Number and Time 14 3 42
Out-of-Class Study Time (Pre-study, Library, Reinforcement) 14 2 28
Midterms 1 20 20
Quiz 0 0 0
Homework 1 20 20
Practice 0 0 0
Laboratory 0 0 0
Project 0 0 0
Workshop 0 0 0
Presentation/Seminar Preparation 1 10 10
Fieldwork 0 0 0
Final Exam 1 20 20
Other 0 0 0
Total Work Load: 140
Total Work Load / 30 4,67
Course ECTS Credits: 5
Course - Learning Outcomes Matrix
Relationship Levels
Lowest Low Medium High Highest
1 2 3 4 5
# Learning Outcomes P1 P4
O1 Have information about the transformations used in signal processing. 4 -
O2 Knows digital electronic concepts 5 -
O3 Fundamentals of biomedical instrumentation - 4
O4 Biosensors and their working principles - 3
O5 Medical imaging methods - 3