Applications of Fuzzy Logic to Artificial Colour Vision

A. E. Pienkowski; T. J. Dennis

doi:10.1117/12.952243

9 June 1986 Applications of Fuzzy Logic to Artificial Colour Vision

A. E. Pienkowski, T. J. Dennis

Proceedings Volume 0595, Computer Vision for Robots; (1986) https://doi.org/10.1117/12.952243
Event: 1985 International Technical Symposium/Europe, 1985, Cannes, France

Abstract

Decision processing on colours demands something more than the exact colour science which has largely dominated the design of colour inspection systems until the present. The work to be described challenges the traditional view by the introduction of the concept of fuzziness to broaden the decision aspects in determining colour by artificial means. Here colours are regarded as fuzzy sets described by so called 'fuzzy membership functions', which are subsets to a universe of discourse (in this case a chromaticity space). Members of these subsets are neither wholly inclusive nor exclusive to the set itself, hence giving rise to fuzziness in the definition of a colour. In a typical application, fuzzy connectives are used to perform operations of union and intersection between membership functions so as to produce a resultant fuzzy set which is characteristic of several colours as described by a simple mathematical equation.

Citation Download Citation

A. E. Pienkowski and T. J. Dennis "Applications of Fuzzy Logic to Artificial Colour Vision", Proc. SPIE 0595, Computer Vision for Robots, (9 June 1986); https://doi.org/10.1117/12.952243

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