1 February 1991 Finding distinctive colored regions in images
Author Affiliations +
Proceedings Volume 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques; (1991); doi: 10.1117/12.25188
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States
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.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tanveer F. Syeda-Mahmood, "Finding distinctive colored regions in images", Proc. SPIE 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques, (1 February 1991); doi: 10.1117/12.25188; https://doi.org/10.1117/12.25188

Image segmentation

Image processing algorithms and systems

Computer vision technology

Machine vision

Detection and tracking algorithms

Object recognition

Robot vision


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