Abstract
Aiming at the problem that color image is difficult to quantify, this paper proposes an evaluation method of color image for small space based on factor analysis (FA) and gene expression programming (GEP) and constructs a correlation model between color image factors and comprehensive color image. The basic color samples of small space and color images are evaluated by semantic differential method (SD method), color image factors are selected via dimension reduction in FA, factor score function is established, and by combining the entropy weight method to determine each factor weights then the comprehensive color image score is calculated finally. The best fitting function between color image factors and comprehensive color image is obtained by GEP algorithm, which can predict the users’ color image values. A color image evaluation system for small space is developed based on this model. The color evaluation of a control room on AC frequency conversion rig is taken as an example, verifying the effectiveness of the proposed method. It also can assist the designers in other color designs and provide a fast evaluation tool for testing users’ color image.
Highlights
Rerferring to the topic of color image, color image processing has to be reviewed
This paper introduced the information entropy to determine the weights in the color image evaluation for small space
In (7), Ei = (1/m) ∑mj=1(Cij − Tj)2 is the mean square error (MSE) of experimental samples. m is the total number of training set samples; Cij is the output value of the jth sample of the ith individual, calculated by the mathematical expressions acquired by gene expression programming (GEP) algorithm modeling; Tj is the target value of the jth sample
Summary
Rerferring to the topic of color image, color image processing has to be reviewed. It has become an important research field in computer graphics and image processing. Many methods that such as grey theory, fuzzy theory [7], neural network [8], genetic algorithm [9, 10], and Kansei engineering [11, 12] have been applied to product’s form and color design. They attempted to quantify people’s psychological feelings of color [13] and acquired consumers’ color image . Color image evaluation system for small space was developed based on the model and assisted designers to conduct color evaluation and optimization by users’ preference
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