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The aim and method of the color image scale
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Notation HueCognitive ScienceImage AnalysisEngineeringColor PsychologyData ScienceColor ReproductionColorizationColorimetryManagementColor TheoryColor CorrectionCluster AnalysisMarketingColor ConstancyColor Image Scale
The scale defines each color by three attributes—warm/cool, soft/hard, clear/grayish—corresponding to hue, value, and chroma. It was created using a color‑projection technique combined with ANOVA, cluster and factor analyses, and a semantic differential method, enabling classification and correlation of objects and personal preference studies. The scale effectively describes similarities and contrasts among color images.
Abstract 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.