Research on Color Image Evaluation of Child Safety Seats Based on grey relational analysis model

Abstract

To solve the problems of incompleteness and uncertainty of information in color evaluation in product design, child safety seats are used as a carrier to conduct color research and optimize the evaluation methods of color design in products. By constructing the color image space of typical samples, the grey relational analysis model is established with the core of gray correlation theory, and the perceptual knowledge is transformed into objective data to calculate the gray weighted correlation of the color samples. Combined with the principal component analysis method, the data is weighted, the priority of color schemes is objectively and quantitatively sorted, and the product image evaluation of young parents as product buyers is studied. Research shows that of the child safety seat samples with the top scores, the overall color collocation is harmonious and dotted with embellishment. The visual effect experience is significantly better than the samples at the bottom. The evaluation results are verified, which proves the effectiveness of the evaluation method. This model solves the problem of strong subjectivity of gray relational analysis to a certain extent, and objectively quantifies the relationship between image and color, and provides new ideas for the optimization of product color. It is used in product color design and development, also playing a certain role in assisting decision-making in terms of iteration and iteration.