COURSE UNIT TITLE

: DIGITAL IMAGE PROCESSING

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
BIL 3104 DIGITAL IMAGE PROCESSING ELECTIVE 3 0 0 5

Offered By

Computer Science

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSISTANT PROFESSOR ERDEM ALKIM

Offered to

Computer Science

Course Objective

The aim of the course is to teach students principles techniques and algorithms of image processing in spatial and frequency domains. Students will learn various digital image processing techniques and their applications. Students will get hands-on experience in implementing many of these techniques for manipulating digital images.

Learning Outcomes of the Course Unit

1   Have a good understanding of basic concepts in digital image processing.
2   Have a good understanding about the concept of the preprocessing, image enhancement,
3   Have a basic knowledge of morphology, color, motion analysis, compression, fundamentals of pattern recognition.
4   Have ability to use computer programming structures for image processing.
5   Have ability to design and test application codes in a programming language for image processing.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Digital Image Fundamentals
2 Image Enhancement
3 Image Transforms
4 Color Image Processing
5 Image Restoration
6 Image Segmentation
7 Image Representation and Description
8 Recap
9 Feature Extraction
10 Motion Analysis
11 Video Image Processing
12 Pattern Recognition
13 Image Compression
14 Project Presentations

Recomended or Required Reading

Textbook(s): Gonzales C. R. and Woods, R. E., Digital Image Processing, 3rd Edition, Addison Wesley, 2008.
Supplementary Book(s): Burger, W., Burge, M.J., Digital Image Processing-An Algorithmic Introduction using Java, Springer 2008.
Velho, L., Frery, A. C., Gomes, J., Image Processing for Computer Graphics and Vision, Springer, 2009.

Planned Learning Activities and Teaching Methods

The course is taught in a lecture, class presentation and discussion format. Besides the taught lecture, group presentations are to be prepared by the groups assigned and presented in a discussion session. In some weeks of the course, results of the homework given previously are discussed.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 VZ Vize
2 FN Final
3 BNS BNS VZ * 0.40 + FN * 0.60
4 BUT Bütünleme Notu
5 BBN Bütünleme Sonu Başarı Notu VZ * 0.40 + BUT * 0.60


Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

erdem.alkim@deu.edu.tr

Office Hours

Will be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparations before/after weekly lectures 12 3 36
Preparation for midterm exam 1 23 23
Preparation for final exam 1 25 25
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 127

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13
LO.14435
LO.24435
LO.34435
LO.444325
LO.544325