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Optimising the complete image feature extraction chain

M. Mirmehdi, P. L. Palmer, J. Kittler, Optimising the complete image feature extraction chain. Third Asian Conference on Computer Vision, Volume II. ISBN 3-540-63931-4, pp. 307–314. January 1998. PDF, 211 Kbytes.


The hypothesis verification stage of the traditional image processing approach, consisting of low, medium, and high level processing, will suffer if the set of low level features extracted are of poor quality. We investigate the optimisation of the feature extraction chain by using Genetic Algorithms. The fitness function is a performance measure which reflects the quality of an extracted set of features. We will present some results and compare them with a Hill-Climbing approach.

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