Computer image processing
D Suter
6 points * 39 hours of lectures and practical work * Irregular availability * Clayton
Objectives The student is expected to develop an understanding of the basic components of computer image processing systems; to be able to carry out tasks involving implementation of algorithms; to be able to process images using packages.
Synopsis Binary, multitonal and colour image processing methodologies (including image acquisition, digitisation, enhancement, segmentation, coding/compression, edge extraction and texture discrimination). Computational geometric aspects of shape analysis, low level scene analysis and applications
Assessment Examinations (2 hours): 60% * Practical work: 40%
Recommended texts
Jain A K Fundamentals of digital image processing Prentice-Hall, 1989
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