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Representation of image content is an important part of image annotation and retrieval, which has become a hot topic in computer vision recently. In order to represent image content more efficiently and accurately, grid based methods such as bag-of-words, were proposed and attracted more attention. However, how to segment images and which scale is the best one are still open problems. In this paper,...
This paper presents a fuzzy color extractor based algorithm to segment color images into meaningful regions. The algorithm proposes a strategy for selecting seeds of color extraction and uses the region growing method to stop the iteration of extraction process. This algorithm automatically determines the number of clusters that represent the segmented color regions. The algorithm is applied to segment...
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