ECS5382

Computer image processing

Offered subject to sufficient enrolment

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

Back to the 1999 Engineering Handbook