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Proceedings Paper

Finding distinctive colored regions in images
Author(s): Tanveer F. Syeda-Mahmood
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Paper Abstract

One of the major problems in object recognition is finding good candidate regions to start the recognition process. One way of selecting a region in the image is to find one that is distinctive in some feature such as color texture etc. In this paper we present an approach to finding distinctive colored regions in an image. It is based on the observation that although humans can discriminate a large number of colors psychophysically they can partition the color space into only a relatively few distinct qualitative color sensations. The algorithm first builds a color feature map that describes the image as consisting of hierarchical overlapping colored regions. The distinctiveness of these regions is then judged using measures such as size individual color contrast etc.

Paper Details

Date Published: 1 February 1991
PDF: 8 pages
Proc. SPIE 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques, (1 February 1991); doi: 10.1117/12.25188
Show Author Affiliations
Tanveer F. Syeda-Mahmood, Massachusetts Institute of Technology (United States)


Published in SPIE Proceedings Vol. 1381:
Intelligent Robots and Computer Vision IX: Algorithms and Techniques
David P. Casasent, Editor(s)

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