Academics
Dop Course Outline
OS6017 Image Processing
Last Revised: 2018-03-26
Course Objectives
The course objective is to introduce the fundamental knowledge of the digital image processing. The course contains the principle of digital image processing, algorithms, and their applications.
Prerequisite
Textbook 1.Digital Image Processing, 3rd edition, by R. C. Gonzalez and R. E. Woods, Pearson, 2008.
2.Fundamentals of Digital Image Processing, by A. K. Jain, Prentice-Hall, 1989.
3.Introduction to Machine Learning, 3rd edition, by E. Alpaydin, MIT Press, 2014.
4.Toolbox in MATLAB.
Topical Outline 1.Digital image fundamentals.
2.Intensity transformations and spatial filtering.
3.Filtering in the frequency domain.
4.Image restoration and reconstruction.
5.Morphological image processing.
6.Segmentation.
7.Object recognition.
Prerequisite
Textbook 1.Digital Image Processing, 3rd edition, by R. C. Gonzalez and R. E. Woods, Pearson, 2008.
2.Fundamentals of Digital Image Processing, by A. K. Jain, Prentice-Hall, 1989.
3.Introduction to Machine Learning, 3rd edition, by E. Alpaydin, MIT Press, 2014.
4.Toolbox in MATLAB.
Topical Outline 1.Digital image fundamentals.
2.Intensity transformations and spatial filtering.
3.Filtering in the frequency domain.
4.Image restoration and reconstruction.
5.Morphological image processing.
6.Segmentation.
7.Object recognition.
