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  1. mmsp08

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  2. 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
  3. 所属分类:Development Research

    • 发布日期:2017-04-09
    • 文件大小:1.36mb
    • 提供者:Swati
  1. CBIR

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  2. 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
  3. 所属分类:File Formats

    • 发布日期:2017-05-13
    • 文件大小:3.3mb
    • 提供者:sunda
  1. CBIR-document

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  2. 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
  3. 所属分类:Communication

    • 发布日期:2017-03-26
    • 文件大小:297.37kb
    • 提供者:keerthi
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