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The aim and method of the color image scale
Author(s) -
Kobayashi Shigenobu
Publication year - 1981
Publication title -
color research and application
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.393
H-Index - 62
eISSN - 1520-6378
pISSN - 0361-2317
DOI - 10.1002/col.5080060210
Subject(s) - hue , semantic differential , artificial intelligence , scale (ratio) , color analysis , projection (relational algebra) , computer science , computer vision , color space , image (mathematics) , color image , mathematics , lightness , pattern recognition (psychology) , image processing , statistics , geography , cartography , algorithm
A Color Image Scale was devised by the use of an original color‐projection technique, analysis of variance, cluster analysis, factor analysis, and the semantic differential method. On this scale every color has three attributes: warm or cool, soft or hard, and clear or grayish, which correlate with the notation hue, value, and chroma. The Color Image Scale is useful for describing the similar and contrasting images of colors. The scale also allows the classification and correlation of various objects (shapes, patterns, clothing, foods, etc.) and the study of personal preferences in these and other areas.