本研究首先將利用前所推導之新色彩意象空間，其主要藉著以色彩心理物理學設計的意象尺度，以及採用目前色彩科學上頗受矚目的大小評估法改良而成之實驗法所推演而得，藉此新色彩意象空間與CIEL*a*b*色彩空間做進一步對於多重色彩搭配流行服飾意象更精確性的定量化，以奠定流行服飾色彩意象快速電腦化預測之基礎，而且更進一步藉由電腦配色系統及染色技術將新色彩意象空間與其對應色彩實物化，製作出其相映之3D 立體新色彩意象表色系統，並藉此改進日本色彩與設計研究所發展的色彩意象尺度在實務應用上的缺點，進而使其應用領域更加廣泛，並能提供業界與學術界之應用與參考，甚至業界藉此成果不但可以作為流行時尚設計與自創品牌之最佳輔助利器，而且更可藉以做少量多樣化計劃性生產，以達降低對環境之污染，並能增進節能減碳效果，以提升其產品之使用品質與經濟效益，以及其實用價值，如此更能增進產品在市場之競爭力與潛力。
A new color image space was derived and based on the new color image scales obtained from the previous study using a modified experiment method based on the psychophysical method, Magnitude Estimation Method, celebrated in the field of color science. The color images of fashion apparels with multi-color combination are further accurately quantified based on the new color image space and CIEL*a*b* color space to raise the feasibility of computerized prediction in color images for fashion design with multi-color combination at speed in this study. Furthermore, a new 3D cubic color-image specification system with color-material objects will be also established using computer animation, color matching and textile dyeing technologies. In practice, the shortcomings in implementing the color image scales proposed by Nippon Color and Design Research Institute in Japan will be also improved when using the new 3D color-image specification system derived from this study. Furthermore, the results can be as references for industry and academy, and even be of great advantage to creating a new brand, and developing the automation techniques of fashion apparel design for the small-lot and multi-end production with planning in textile and related color industries. And then, the manufacturing potential and effectiveness will be increased. The decreasing environmental pollution and increasing energy conservation and carbon-dioxide reduction resulted from the new technology in this research are also considered. Meanwhile, these products will have high competition and potential in the marketing.
