A computer‐assisted colour selection system based on aesthetic measure for colour harmony and fuzzy logic theory

Abstract

An aesthetic measure based approach for constructing a colour design/selection system is proposed in this article. In this model, an image data base for the relationships between the psychological preference of customers and clothing colour tones is built using the membership functions of a fuzzy set, and an aesthetic measure calculation method based on colour harmony is also proposed. In addition, a skin colour detection theory is proposed to construct a skin colour detection program to detect the skin colour of a customer, which is then taken as the major colour in matching the skin, polo shirt, and(or) pant colours to select the best colour combination. Integrating the skin colour detection theory, colour harmony theory, aesthetic measure method, and fuzzy set theory, a program is constructed to build an aesthetic measure based colour design/selection system. With the aid of this system, one can get proper cloth colours to match his/her skin colour and image requirement by starting with inputting one's colour photo, catching image with a camera, or inputting R, G, B values of his/her skin. The theoretical results for the ranks of clothing colours proposed by the system are examined with the experimental results and the result shows they are very close, suggesting that the proposed colour selection system is acceptable. Although the selection of clothing colours is taken as an example to specify the methodology, it can also be used to develop a system for other products.

Agent based mobile recommender system

“…They can choose day to day life useful items or product, get news about trends; this allows them to makeover not only in terms of acquiring latest fashion but they can also boost up their life styles [10]. Another such system is a computerassisted color selection system that uses color synchronization and fuzzy logic to make suggestions about clothing matching with the users' skin tone [15]. Furthermore, there is a multiagent recommender system for e-tourism (MARST) [16] for recommending tourism services to the users.…”

A consultation and simulation system for product color planning based on interactive genetic algorithms

“…Kansei Engineering is the translating technology of a consumer's feeling of a product to the product's design elements . Many consumer and color design studies have found that gender and age are the major elements of a target consumer profile. Consumers tends to buy products that correspond to their gender .…”

“…Hsiao and Chiu combine the concept of color emotion, harmony and preference to propose a recommendation system of color combinations. They used fuzzy set theory to assign the value of consumers' emotion and applied the aesthetic measure theory to evaluate the aesthetic of color combinations for building a personalized color selection system.…”

“…Gong recommended a method for assembling 2D component images of clothing for presenting a clothing matching scheme. Hsiao also presented a simulation method for filling colors on a fixed 2D image. However, there are two shortcomings regarding these studies.…”

An Intelligent Skin Color Detection Method based on Fuzzy C-Means with Big Data

“…Hsiao et al [3] used the skin color detection with color harmony theory and created an expert system. The system could help people input their skin color and get the right option for clothes color.…”