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Feature extraction is a key issue in contentbased
image retrieval (CBIR). In the past, a number of
texture features have been proposed in literature,
including statistic methods and spectral methods.
However, most of them are not able to accu
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Graph-Cut Transducers for Relevance Feedback in Content Based Image Retrieval, Relevance Feedback for Content-Based Image Retrieval Using Bayesian Network,CONTENT BASED IMAGE RETRIEVAL,Relevance Feedback,A survey of browsing models for content based
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CBIR is retrieval of images based on some query or example images. It is also called Query based image retrieval. Firstly, this report outlines a descr iption of the primitive features of an image color and shape. These features are extracted and use
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基于图像内容检索的模糊c均值聚类，在matalb中的实现-Realization of fuzzy c-means clustering, based on image content retrieval in matalb
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color based image retrieval code in matlab-color based image retrieval code in matlab
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