DocumentCode
3205409
Title
Anatomy of a color histogram
Author
Novak, Carol L. ; Shafer, Steven A.
Author_Institution
Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear
1992
fDate
15-18 Jun 1992
Firstpage
599
Lastpage
605
Abstract
It is shown that the color histogram has an even closer relationship to scene properties than has been previously described. Color histograms have identifiable features that relate in a precise mathematical way to scene properties. Object color and illumination color are the most obvious properties that are related to color distribution, and their extraction has already been described. It is shown here that the histogram of color variation may be further exploited to relate its shape to surface roughness and imaging geometry. An understanding of these features allows an improved estimate of illumination color and object color to be made
Keywords
image segmentation; color histogram; identifiable features; illumination color; imaging geometry; scene properties; surface roughness; Anatomy; Geometry; Histograms; Image color analysis; Image segmentation; Layout; Lighting; Reflection; Rough surfaces; Surface roughness;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
Conference_Location
Champaign, IL
ISSN
1063-6919
Print_ISBN
0-8186-2855-3
Type
conf
DOI
10.1109/CVPR.1992.223129
Filename
223129
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