Digital Image Processing

Последна измена: October 25, 2019

Course title: Digital Image Processing

Code: 3ФЕИТ05З013

Number of credits (ECTS): 6

Weekly number of classes: 3+1+1+0

Prerequisite for enrollment of the subject: None

Course Goals (acquired competencies): The course will enable the students to understand the basics of digital image processing and mathematical methods and tools on which it is based, to test and examine practical implementations of various algorithms and to evaluate their advantages and disadvantages. By following the course the student will be able to solve various problems in the field of image processing by using and developing appropriate tools.

Total available number of classes: 180

Course Syllabus: Basics of image processing. Image enhancement in spatial domain. Spatial filtering. Image enhancement in transform domain. Image restoration. Color image processing. Multiresolution image processing. Image compression. Edge detection. Morphological image processing. Image segmentation. Representation and description. Image analysis.

Literature:

Required Literature

No.

Author

Title

Publisher

Year

1

R. C. Gonzalez and R. E. WoodsDigital Image ProcessingPrentice Hall2008

2

Lj. PanovskiImage processing systems 2002

Additional Literature

No.

Author

Title

Publisher

Year

1

A. K. JainFundamentals of Digital Image ProcessingPrentice Hall1989