Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

FACULTY OF ENGINEERING & ARCHITECTURE / BLM310 - DEPARTMENT OF COMPUTER ENGINEERING

Code: BLM310 Course Title: IMAGE PROCESSING Theoretical+Practice: 2+0 ECTS: 3
Year/Semester of Study 3 / Spring Semester
Level of Course 1st Cycle Degree Programme
Type of Course Optional
Department DEPARTMENT OF COMPUTER ENGINEERING
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer NUH AZGINOĞLU (nuh@nevsehir.edu.tr)
Name of Lecturer(s) EBUBEKİR KAYA,
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
The aim of this course is to teach students principle techniques and algorithms of image processing

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 Students will understand fundamental underlying principles of digital image processing. PO-4 Students gain the ability to apply knowledge of mathematics, science and engineering.
PO-5 Students gain the ability to define, model, formulate and solve general engineering problems.
PO-7 Students gain the ability to identify, define, formulate and solve problems specific to Computer Engineering.
PO-8 Students will able to develop the program by using the basic concepts of software.
PO-9 Students will have knowledge and skills about basic computer hardware, software and system security.
PO-15 Students will be able to design a system or process to meet the desired needs.
PO-19 Students develop self-renewal and researcher skills in order to adapt to innovations and developing technology.
Examination
LO-2 Student will learn the basics theory of image processing(hardware and software, digitization, enhancement and restoration, encoding, segmentation, feature detection etc.) PO-4 Students gain the ability to apply knowledge of mathematics, science and engineering.
PO-5 Students gain the ability to define, model, formulate and solve general engineering problems.
PO-7 Students gain the ability to identify, define, formulate and solve problems specific to Computer Engineering.
PO-8 Students will able to develop the program by using the basic concepts of software.
PO-15 Students will be able to design a system or process to meet the desired needs.
PO-19 Students develop self-renewal and researcher skills in order to adapt to innovations and developing technology.
Examination
LO-3 Öğrenci bilgilerini görüntü işleme gerektiren gerçek örneklere nasıl uygulayabileceğini öğrenir. PO-4 Students gain the ability to apply knowledge of mathematics, science and engineering.
PO-5 Students gain the ability to define, model, formulate and solve general engineering problems.
PO-7 Students gain the ability to identify, define, formulate and solve problems specific to Computer Engineering.
PO-8 Students will able to develop the program by using the basic concepts of software.
PO-15 Students will be able to design a system or process to meet the desired needs.
PO-18 Students will able to create graphics and animations using data.
Examination
LO-4 Student will analyze and implement image processing algorithms. PO-4 Students gain the ability to apply knowledge of mathematics, science and engineering.
PO-5 Students gain the ability to define, model, formulate and solve general engineering problems.
PO-7 Students gain the ability to identify, define, formulate and solve problems specific to Computer Engineering.
PO-8 Students will able to develop the program by using the basic concepts of software.
PO-15 Students will be able to design a system or process to meet the desired needs.
PO-18 Students will able to create graphics and animations using data.
PO-19 Students develop self-renewal and researcher skills in order to adapt to innovations and developing technology.
Examination
LO-5 Student will complete a project, write report and present in class on a topic in image processing PO-4 Students gain the ability to apply knowledge of mathematics, science and engineering.
PO-5 Students gain the ability to define, model, formulate and solve general engineering problems.
PO-7 Students gain the ability to identify, define, formulate and solve problems specific to Computer Engineering.
PO-8 Students will able to develop the program by using the basic concepts of software.
PO-15 Students will be able to design a system or process to meet the desired needs.
PO-18 Students will able to create graphics and animations using data.
PO-19 Students develop self-renewal and researcher skills in order to adapt to innovations and developing technology.
Examination
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
Digital Image Fundamentals, Image Enhancement Techniques, Spatial Filtering, Color Image Processing, Image Segmentation, Morphological Image Processing, Texture Analysis, Image Representation and Description, Image Compression, Motion Analysis, Pattern Recognition, Deep Learning for Image Processing Applications
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Introduction Explaining, Question-Answer, Problem Solving, Practice
2 Digital Image Fundamentals Explaining, Question-Answer, Problem Solving, Practice
3 Image Enhancement Techniques Explaining, Question-Answer, Problem Solving, Practice
4 Spatial Filtering Explaining, Question-Answer, Problem Solving, Practice
5 Color Image Processing Explaining, Question-Answer, Problem Solving, Practice
6 Image Segmentation Explaining, Question-Answer, Problem Solving, Practice
7 Image Segmentation II Explaining, Question-Answer, Problem Solving, Practice
8 mid-term exam
9 Morphological Image Processing Explaining, Question-Answer, Problem Solving, Practice
10 Image Representation and Description Explaining, Question-Answer, Problem Solving, Practice
11 Motion Anaysis Explaining, Question-Answer, Problem Solving, Practice
12 Motion Anaysis II Explaining, Question-Answer, Problem Solving, Practice
13 Pattern Recognition Explaining, Question-Answer, Problem Solving, Practice
14 Pattern Recognition II Explaining, Question-Answer, Problem Solving, Practice
15 Image Processing Applications Explaining, Question-Answer, Problem Solving, Practice
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 Digital Image Processing 4th Edition, Rafael C. Gonzalez, Richard E. Woods, Addison Wesley
Required Course instruments and materials
Digital Image Processing 4th Edition, Rafael C. Gonzalez, Richard E. Woods, Addison Wesley, 2017; computer, projector

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 8 1 40
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam
4.Presentation
5.Report
6.Workshop
7.Performance Project
8.Term Paper
9.Project
final exam 16 1 60

Student Work Load
Type of Work Weekly Hours Number of Weeks Work Load
Weekly Course Hours (Theoretical+Practice) 2 14 28
Outside Class
       a) Reading 9 4 36
       b) Search in internet/Library 0
       c) Performance Project 0
       d) Prepare a workshop/Presentation/Report 0
       e) Term paper/Project 0
Oral Examination 0
Quiz 0
Laboratory exam 0
Own study for mid-term exam 12 1 12
mid-term exam 1 1 1
Own study for final exam 12 1 12
final exam 1 1 1
0
0
Total work load; 90