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Evolving localised learning for on-line colour image quantisation
Working paper   Open access

Evolving localised learning for on-line colour image quantisation

Da Deng and Nikola Kasabov
11/2000
Handle:
https://hdl.handle.net/10523/885

Abstract

Knowledge Engineering Laboratory QA76 Computer software
Although widely studied for many years, colour image quantisation remains a challenging problem. We propose to use an evolving self-organising map model for the on-line image quantisation tasks. Encouraging results are obtained in experiments and we look forward to implementing the algorithm in real world applications with further improvement.
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