ELEC 4130 Digital Image Processing, Fall 2013
Tuesday and Thursday:
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 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
by Rafael C. Gonzalez and Richard E. Woods, Prentice Hall, 3rd Edition, 2008.
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/