Image processing
4 points * Two 1-hour lectures per week * First semester * Clayton * Prerequisites: CSC2040 and 12 points of approved first-year mathematics subjects or equivalent * Prohibitions: PHS3152
Objectives On completion of the subject students should know about image representation, processing and analysis techniques; be able to use standard image processing software; be able to develop programs for manipulating grey level, colour and multispectral images; and be able to do computer analysis of medical, remotely-sensed, document, and other images.
Synopsis This subject covers fundamental techniques in image processing. Topics include image representation and enhancement, thresholding, image algebra, neighbourhood operations on images, Fourier methods, edge detection, feature extraction and representation, shape, texture, segmentation, classification, restoration, image compression, and colour and multiband image processing.
Assessment Examination (2 hours): 70% * Assignments: 30%
Prescribed texts
Gonzalez R C and Woods R E Digital image processing 3rd edn, Addison-Wesley, 1992
Recommended texts
Ballard D H and Brown C M Computer vision Prentice-Hall, 1982
Jain A K Fundamentals of digital image processing Prentice-Hall, 1989
Levine M D Vision in man and machine McGraw-Hill, 1985
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