ELEC 4130 Digital Image
Processing, Fall 2013
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Tuesday and Thursday: |
1:30PM-2:50PM |
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Venue: |
LSK 1007 |
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Instructor: |
Yu, Weichuan |
This course introduces methods to process images on a computer. The topics include: the formation and quantification of digital images, morphological image processing, image enhancement in the spatial and frequency domain, image restoration, color image processing, image compression, image segmentation, image representation and description.
This course is mathematics-oriented. It requires basic knowledge of linear algebra, calculus, and linear filtering. Familiarity with the programming language MATLAB is needed.
Prerequisite: ELEC3100,
MATH2111
Grade is based on homework (20%), mid-term (30%) and final exam (50%). A tentative schedule is described as
follows. More materials (lecture notes, homework assignment, etc.) can be found
at http://lmes2.ust.hk/portal/:
Week 1
Introduction
Week 2 Transforms
Week 3
Morphological
Image Processing
Week 4
Image
Enhancement in the Spatial Domain 1
Week 5
Image Enhancement in the Spatial Domain 2
Week 6
Image
Enhancement in the Frequency Domain
Week 7
Mid-term Exam (Oct. 17)
Week 8
Image Restoration
Week 9
Color Image
Processing
Week 10
Image
Compression
Week 11
Image
Segmentation 1
Week 12
Image
Segmentation 2
Week 13
Final
Review
TextBook:
Digital Image
Processing
by Rafael C. Gonzalez and Richard E. Woods, Prentice Hall, 3rd Edition,
2008.
References:
Digital Image
Processing using Matlab
by Rafael C. Gonzalez, Richard E. Woods, Steven L. Eddins
Prentice Hall, 2004.
Textbook webpage (a lot of online
tutorials) http://www.imageprocessingplace.com/