Combining fuzzy ART network clustering and sparse code shrinkage for image segmentation
Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference(2002)
摘要
An autonomous segmentation process is one of the most difficult tasks of a visual system. Among the main aspects that can affect the results of this process is the presence of noise. In this paper, it is showed how a technique for denoising images can be combined with the Fuzzy ART clustering for improving the image segmentation results. A mobile robot application is used for testing the efficiency of the proposed combination.
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关键词
art neural nets,fuzzy neural nets,image denoising,image segmentation,independent component analysis,mobile robots,robot vision,autonomous segmentation,fuzzy art network clustering,mobile robot application,sparse code shrinkage,visual system,mobile robot,sparse coding
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