本研究首先將主要藉著以色彩心理物理學設計的意象與諧調性尺度，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，藉此新實驗法與CIEL*a*b*色彩空間做進一步對於不同型態多重色彩搭配樣本進行其色彩意象與諧調性更精確性的定量化實驗，以奠定實務上不同型態實物色彩意象與諧調性快速電腦化預測之基礎，並藉此改進日本色彩與設計研究所發展的色彩意象尺度之應用上之不足，以及改善近十年來國內外很多研究者對於色彩意象與諧調性研究在實務應用上的缺點–即僅採用單一型態色塊樣本而無法完全符合實務上不同的需求，進而可使新發展的多元化色彩意象空間與諧調性尺度應用領域更加廣泛，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 imagery space was derived and based on the new color imagery 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 imagery and color harmony of the cumulated samples with different patterns and multi-color combinations respectively are further accurately quantified based on the new color imagery space and CIEL*a*b* color space to raise the feasibility of computerized prediction in color imagery for the practical objects with various patterns and multi-color combinations separately at speed in this study. In practice, the shortcomings in implementing the color imagery scales proposed by Nippon Color and Design Research Institute in Japan as well as in practical applications for those researches on color imagery and color harmony during the recent decade will be also improved using the experimental results 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.
