Pamukkale University
University is the guide to life
Welcome to PAU;
Prospective Student
Our Students
Our Staff
TR
Information Package & Course Catalogue
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
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
Print
COURSE INFORMATION
Course Code
Course Title
L+P Hour
Semester
ECTS
EEEN 444
DIGITAL IMAGE PROCESSING
3 + 0
8th Semester
4
COURSE DESCRIPTION
Course Level
Bachelor's Degree
Course Type
Elective
Course Objective
To teach the high-level image processing fundamentals and in this manner, to provide students with simulating digital image processing algorithms through extensive use of Matlab.
Course Content
Morphological image processing / Image feature extraction / Image segmentation / Image representation and description / Image classification.
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 morphological image processing methods
2
He/She knows edge detection algorithms and feature extraction
3
He/She knows and applies image segmentation.
4
He/She knows and applies image classification.
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
1
5
3
3
4
3
2
1
3
2
LO 002
4
5
2
2
2
1
1
1
2
2
LO 003
4
5
2
1
1
1
1
1
3
3
LO 004
5
2
2
2
2
1
1
2
2
Sub Total
9
20
9
8
9
7
5
4
4
6
9
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 Spring
2021-2022 Spring
2020-2021 Spring
2008-2009 Spring
Course Term
No
Instructors
Details
2023-2024 Fall
1
AYDIN KIZILKAYA
Print
Course Details
Course Code
Course Title
L+P Hour
Course Code
Language Of Instruction
Course Semester
EEEN 444
DIGITAL IMAGE PROCESSING
3 + 0
1
Turkish
2023-2024 Fall
Course Coordinator
E-Mail
Phone Number
Course Location
Attendance
Prof. Dr. AYDIN KIZILKAYA
akizilkaya@pau.edu.tr
MUH A0235
%
Goals
To teach the high-level image processing fundamentals and in this manner, to provide students with simulating digital image processing algorithms through extensive use of Matlab.
Content
Morphological image processing / Image feature extraction / Image segmentation / Image representation and description / Image classification.
Topics
Weeks
Topics
1
Introduction
2
Color Space, grayscale and colorful images, image types
3
Fundamentals of Image Processing
4
Fourier Transformations
5
Image Filtering, Image Histogram
6
Edge Detection Methods
7
Image Segmentation - I
8
Image Segmentation - II
9
Image Enhancement
10
Midterm Exam
11
Image Restoration
12
Image Registration - I
13
Image Registration - II
14
Final Exam
Materials
Materials are not specified.
Resources
Resources
Resources Language
Internette ve kütüphanemizdeki konularla ilgili kaynak kitaplar, derste sunulan notlar
Türkçe
Course Assessment
Assesment Methods
Percentage (%)
Assesment Methods Title
Final Exam
50
Final Exam
Midterm Exam
30
Midterm Exam
Homework
20
Homework
L+P:
Lecture and Practice
PQ:
Program Learning Outcomes
LO:
Course Learning Outcomes
{1}
##LOC[OK]##
{1}
##LOC[OK]##
##LOC[Cancel]##
{1}
##LOC[OK]##
##LOC[Cancel]##
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