ELEC
317 Digital Image Processing, Fall 2010
Monday 13:30PM-14:50PM
Friday 9:00AM-10:20AM
Venue:
Room 2464
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: ELEC211
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
Image
Restoration
Week 8 Mid-term Exam
Week 9
Color
Image Processing
Week 10
Image
Compression
Week 11
Image
Segmentation 1
Week 12
Image
Segmentation 2
Week 13
Representation
and Description
Week 14 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/