Study On Product Color Design Model And Method Based On Image

As life quality increasingly promotes, emotional experience caused by product color has been becoming the pursuing target of ordinary consumers. The preferences and requirements on product color images become the key factor which determines consumers' purchasing and using behaviors. Product development should be always based on requirements of market and consumers, so most of corporations has considered product color image as a competitive tool. The traditional methods can not completely reflect the various and changeable color image requirements of consumers, which have become the restriction of product color design. Therefore, the key point to solve this problem is to exactly grasp and rationally express consumers'requirements of color image and multi-emotions. For this reason, this paper set consumers'perception on product color image as research object. Aiming at the actual application of product color design, this paper created an intelligent design method which could be adjust to product features and actually satisfy consumer's image requirements. More details are as follows:Firstly, for the influence of color layout on consumers'color image space, this paper proposed a product color image evaluation method based on color layout. It made depth analysis about the influence of color layout on consumers'color image. It also introduced the factor of color layout into the product color image evaluation model, which was considered as evaluating attribute together with hue, value and chroma. This paper used Conjoint Analysis to construct the relationship between consumers'color image and each evaluation attribute. On this basis, a product color image evaluation method based on color layout was created, in order to deduce evaluation values of target consumers on unknown color combinations. Especially for the undefined color layout, through a design case this method was proved that it was closer to consumers'subjective images than color harmony aesthetics measure model of MoSpencer.Secondly, for the influence of color area changing on consumers' color image space, this paper proposed an integrated color image evaluation method considering color area changing. It focused on the color combining features of multi-working modes products, and introduced color area changing factors into product color image evaluation model. On the basis of gray relational, the correlative model between product color and image was built. Furthermore, gray clustering method was used to determine image evaluating value for color combination. The color combination images for different working modes were all considered as evaluating attributes, to which the corresponding weights were assigned for synthesized evaluation. This method paid attention to both the variability of product with multiple working modes and the indeterminacy of customers' subjective images, and then flexibly and directly evaluated the color combination image for the product with multi-working modes. For the color area changing issue, through a design case, it was proved that this method was closer to the subjective image of customers than single-attribute evaluating approach.In addition, for consumers may difficult to provide specific expectation values on product color image, this paper proposed a product color fuzzy design method. Considering the fuzziness and uncertainty of consumers'color image expression, this method transformd product color design with undefined decisions into fuzzy search for optimized solution with given solution space. It constructed product color fuzzy design model, and used fuzzy variables discretization to produce optional scheme solutions. It employed Particle Swarm Optimization to solve the model, and rapidly produced product color schemes. This method is able to improve the uncertainty problem of product color design, increase the generation rate of satisfied solution, and enhance the quality of product color design. Through design case, the feasibility of this method was proved.Finally, According to the multidimensionality and complexity of consumers'requirements on product color image, a product color planning method based on multi-emotion was proposed. This method constructed a multi-dimension space of consumers'emotion requirements. On the expansion of multi-working modes product color design model, it constructed a model of multi-emotion product color design, and used factor analysis and Protodyakonov Analysis to create image dimension. It employed Particle Swarm Optimization to find the solution. This method could meet consumers'multi-emotion requirements, improve design success rate, and provide theoretical basis for complex emotion requirements. Through design case, the importance of considering emotion multidimensionality and the validity of the proposed method were proved.