CNC Color Matching Research Based On Users' Preference Images

Zhigang Hu

Abstract


In order to design CNC that both meet users' preference and improve users' satisfaction with its color matching, the paper put forward CNC color matching method based on users' preference images, as a result, either CNC users' working environment or their working efficiency will be improved. During research process, firstly, users' CNC preference images were obtained through analysis of existing product color matching. According to the law of color matching, product models were colored, then product color matching samples were gotten, at last, image preference values were obtained by questionnaire survey. Thirdly, model most meet users' preference color matching was built and the optimum color matching that meet users' emotional intention was counted by Particle Swarm Algorithm Optimization.


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Revista de la Facultad de Ingeniería,

ISSN: 2443-4477; ISSN-L:0798-4065

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