COURSE UNIT TITLE

: IMAGE PROCESSING

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
GIS 5003 IMAGE PROCESSING ELECTIVE 2 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSISTANT PROFESSOR GÜLTER GÜLDEN KÖKTÜRK

Offered to

Geographical Information Systems (Non-Thesis) (English)
GEOGRAPHICAL INFORMATION SYSTEMS (ENGLISH)
GEOGRAPHIC INFORMATION SYSTEMS (ENGLISH)
GEOGRAPHICAL INFORMATION SYSTEMS - NON THESIS (EVENING PROGRAM) (ENGLISH)

Course Objective

Image processing is a broad subject encompassing studies of physics, geography, electrical engineering, computer science and mathemathics. Fundamentals of digital image acquisition, processing, segmentation and classification by a computer will be covered. Its applications in medicine, geography, industry, defence, microscopy and other fields will be discussed. Releated programs will be run on computer to visualize the results of several image process.

Learning Outcomes of the Course Unit

1   Teach the student to appreciate how image processing is and its applications are applied.
2   Develope the students abilities
3   Improve to use the Matlab programme

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Digital Image Representation, Fundamental Steps in Image Processing
2 Elements of Digital Image Processing Systems
3 Some Basic Relationship between Pixels
4 Convolution and Correlation, the Fourier Transform, the Discrete Fourier Transform, the Fast Fourier Transform
5 Enhancement by Point Processing
6 Enhancement in the Frequency Domain
7 Spatial Filtering
8 Error Correction and Registration of Image Data
9 Detection of Discontinuities: Point, Line, Edge Detection
10 Thresholding, Region-Oriented Segmentation
11 Supervised Classification Techniques
12 Clustering and Unsupervised Classification Techniques
13 Multispectral Transformation of Image Data, Principle Component Analysis
14 Color Image Processing Fundamentals

Recomended or Required Reading

R. C. Gonzalez, R. E. Woods, "digital Image Processing", Addison-Wesley, 1992.

Planned Learning Activities and Teaching Methods

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 ASG ASSIGNMENT
2 FIN FINAL EXAM
3 FCG FINAL COURSE GRADE ASG * 0.50 + FIN * 0.50
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) ASG * 0.50 + RST * 0.50


Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

gulden.kokturk@deu.edu.tr
Tel: 232-3017165
Web: gulden.kokturk.com/gis5003.html

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
TOTAL WORKLOAD (hours) 0

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.134543453243
LO.244355454322
LO.344553522233

CONTACT INFORMATION
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Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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