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http://dx.doi.org/10.3745/KIPSTB.2008.15-B.5.407

Background Segmentation in Color Image Using Self-Organizing Feature Selection  

Shin, Hyun-Kyung (경원대학교 수학정보학과)
Abstract
Color segmentation is one of the most challenging problems in image processing especially in case of handling the images with cluttered background. Great amount of color segmentation methods have been developed and applied to real problems. In this paper, we suggest a new methodology. Our approach is focused on background extraction, as a complimentary operation to standard foreground object segmentation, using self-organizing feature selective property of unsupervised self-learning paradigm based on the competitive algorithm. The results of our studies show that background segmentation can be achievable in efficient manner.
Keywords
Color segmentation; Background segmentation; Feature selection and self organizing map;
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