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FIRST CYCLE - BACHELOR'S DEGREE
FACULTY OF ENGINEERING
ELECTRICAL AND ELECTRONIC ENGINEERING DEPARTMENT
247 ELECTRICAL AND ELECTRONICS ENGINEERING
Course Information
Course Learning Outcomes
Course's Contribution To Program
ECTS Workload
Course Details
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COURSE INFORMATION
Course Code
Course Title
L+P Hour
Semester
ECTS
EEEN 439
BASICS OF IMAGE PROCESSING
3 + 0
7th Semester
4
COURSE DESCRIPTION
Course Level
Bachelor's Degree
Course Type
Elective
Course Objective
To teach the fundamentals of low- and mid-level image processing concepts including enhancement, restoration and compression of digital images. In this manner, to provide students with simulating digital image processing algorithms through extensive use of Matlab.
Course Content
Image processing basics / Image enhancement in the spatial domain / Image enhancement in the frequency domain / Image restoration and reconstruction / Color image processing / Wavelets and multi-resolution processing / Image compression.
Prerequisites
No the prerequisite of lesson.
Corequisite
No the corequisite of lesson.
Mode of Delivery
Face to Face
COURSE LEARNING OUTCOMES
1
He/She knows the fundamental concepts of image processing
2
He/She knows and applies image enhancement techniques
3
He/She knows and applies image restoration techniques
4
He/She knows and applies image compression
COURSE'S CONTRIBUTION TO PROGRAM
PO 01
PO 02
PO 03
PO 04
PO 05
PO 06
PO 07
PO 08
PO 09
PO 10
PO 11
LO 001
3
5
1
2
3
2
1
1
1
4
2
LO 002
2
5
2
2
1
3
1
1
1
1
2
LO 003
2
5
2
3
2
3
1
1
1
1
LO 004
2
5
1
2
2
1
2
1
1
1
Sub Total
9
20
6
9
8
9
5
3
4
6
6
Contribution
2
5
2
2
2
2
1
1
1
2
2
ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities
Quantity
Duration (Hour)
Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)
14
3
42
Hours for off-the-classroom study (Pre-study, practice)
14
3
42
Mid-terms
1
6
6
Final examination
1
14
14
Total Work Load
ECTS Credit of the Course
104
4
COURSE DETAILS
Select Year
All Years
2023-2024 Fall
2022-2023 Fall
2021-2022 Fall
2008-2009 Fall
Course Term
No
Instructors
Details
2023-2024 Fall
1
MEHMET DOĞAN ELBİ
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Course Details
Course Code
Course Title
L+P Hour
Course Code
Language Of Instruction
Course Semester
EEEN 439
BASICS OF IMAGE PROCESSING
3 + 0
1
Turkish
2023-2024 Fall
Course Coordinator
E-Mail
Phone Number
Course Location
Attendance
Asts. Prof. Dr. MEHMET DOĞAN ELBİ
melbi@pau.edu.tr
MUH A0233
%70
Goals
To teach the fundamentals of low- and mid-level image processing concepts including enhancement, restoration and compression of digital images. In this manner, to provide students with simulating digital image processing algorithms through extensive use of Matlab.
Content
Image processing basics / Image enhancement in the spatial domain / Image enhancement in the frequency domain / Image restoration and reconstruction / Color image processing / Wavelets and multi-resolution processing / Image compression.
Topics
Weeks
Topics
1
Introduction, color space, grayscale and colorful images, image types
2
Fundemental image processing methods
3
Image histograms, image filtering
4
Edge detection methods
5
Morphologic operations
6
Image segmentation
7
Image segmentation
8
Midterm exam
9
Home presentations
10
Image registration
11
Image registration
12
Image restoration
13
Image restoration
14
Final exam
Materials
Materials are not specified.
Resources
Resources
Resources Language
C.Solomon and T.Breckon, “Fundamentals of Digital Image Processing”, Wiley-Blackwell 2011
English
R.C. Gonzalez and R.E. Woods, “Digital Image Processing”, 3rd Ed., Prentice-Hall, 2008
English
Course Assessment
Assesment Methods
Percentage (%)
Assesment Methods Title
Final Exam
50
Final Exam
Midterm Exam
50
Midterm Exam
L+P:
Lecture and Practice
PQ:
Program Learning Outcomes
LO:
Course Learning Outcomes
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Home Page
About University
Name And Address
Acedemic Authorities
General Discription
Academic Calendar
General Admission Requirements
Recognition of Prior Learning
General Registration Procedures
ECTS Credit Allocation
Academic Guidance
Information For Students
Cost Of Living
Accommodation
Meals
Medical Facilities
Facilities for Special Needs Students
Insurance
Financial Support for Students
Student Affairs
Learning Facilities
International Programs
Language Courses
Internships
Sports Facilities and Leisure Activities
Student Associations
Practical Information for Mobile Students
Degree Programmes