农业机械学报2017，Vol.48Issue(6)：296-301,6.DOI:10.6041/j.issn.1000-1298.2017.06.039
基于CIELAB色空间的红葡萄酒颜色直观表征
Visualization for Representation of Red Wine Color Based on CIELAB Color Space
摘要
Abstract
The existing methods of color representation are seldom reported to vividly describe and transmit wine color information.A new method was proposed to visually represent red wine color employing charts of colorfulness distribution,lightness distribution and feature color,as well as the visible absorption spectrum of a wine.A high-definition color plane determined by a* and b* axes when L*=60 was rendered in the CIELAB color space.The colorfulness distribution chart,carrying information of a*,b*,chroma and hue,was yielded when a* and b* color parameters of a wine were projected on this plane.The lightness distribution chart,indicating the light and shade degree of a wine,was rendered according to the L* value.The feature color chart,illustrating the true color of a wine under the condition of natural observation,made a comprehensive consideration of the effects of L*,a* and b* parameters.A comparative trial of the new visualized method and a traditional analysis of the CIELAB parameters was carried out to describe the color of 10 Vitis vinifera L.cv.Cabernet Sauvignon wines from represent.ative regions of China.The results showed that the new method presented the CIELAB parameters information completely and visually,and it also exhibited a specific feature color for each red wine impressively.There were significant differences of the charts of colorfulness distribution,lightness distribution,feature color and the visible absorption spectra between the wine samples.Besides,all wine samples encountered a problem that the color aged faster than expected.关键词
红葡萄酒/颜色特征/吸收光谱/颜色空间/CIELABKey words
red wine/color feature/absorption spectra/color space/CIELAB分类
轻工纺织引用本文复制引用
李运奎,韩富亮,张予林,王华..基于CIELAB色空间的红葡萄酒颜色直观表征[J].农业机械学报,2017,48(6):296-301,6.基金项目
国家自然科学基金项目(31401479)、国家林业科技推广项目(2014-45)、中央高校基本科研业务费专项资金项目(QN2013020)和西北农林科技大学试验示范站(基地)科技创新与成果转化项目(XNY2013-76) （31401479）
