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http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/5994
Title: | Data and Model-Driven Selection Using Color Regions |
Keywords: | selection color recognition saliency visual attention sregion segmentation |
Issue Date: | 9-Oct-2013 |
Description: | A key problem in model-based object recognition is selection, namely, the problem of determining which regions in the image are likely to come from a single object. In this paper we present an approach that extracts and uses color region information to perform selection either based solely on image- data (data-driven), or based on the knowledge of the color description of the model (model -driven). The paper presents a method of perceptual color specification by color categories to extract perceptual color regions. It also discusses the utility of color-based selection in reducing the search involved in recognition. |
URI: | http://koha.mediu.edu.my:8181/xmlui/handle/1721 |
Other Identifiers: | AIM-1270 http://hdl.handle.net/1721.1/5994 |
Appears in Collections: | MIT Items |
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