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随着计算机技术和国际互联网的飞速发展，包括图像在内的各种多媒体数据的数量正以惊人的速度增长，人们很容易在多媒体信息海洋中迷失方向，如何从中有效地检索有用信息是一个很关键和迫切的问题。本文回顾了图像检索技术的发展状况，阐述了基于内容的图像检索的关键技术，结合认知心理学模型和智能科学技术，重点探讨了未来图像检索的发展方向和技术路线。 -with computer technology and the Internet's rapid development, include images o
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基于内容的图像检索算法-基于纹理的图像检索算法-Content-based image retrieval algorithm- based on the texture image retrieval algorithm
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Content-based image retrieval
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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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Content-based Image Retrieval
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content Based image retrieval
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介绍了基于内容图像检索（)& 9）技术的研究现状，对图像的检索方法进行了分析，并对图像检索可能涉及到
的主要问题进行了讨论。-() & 9) Technical Research content-based image retrieval, image retrieval method analysis and image retrieval may be related to the main issues discussed.
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CBIR-Two novel contributions to Content Based Image Retrieval are presented and
discussed. The fi rst is a search engine for font recognition. The intended usage
is the search in very large font databases. The input to the search engine is a
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Two novel contributions to Content Based Image Retrieval are presented and
discussed. The fi rst is a search engine for font recognition. The intended usage
is the search in very large font databases. The input to the search engine is an
i
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是关于基于内容的图像检索技术的电子期刊文章-About content-based image retrieval technology electronic journal articles
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Content-Based Image Retrieval using the Bag-of-Words Concept
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基于内容的图像检索 基于颜色、纹理、形状的图像检索
基于区域的图像检索
基于语义的图像检索
相关反馈
-Based on the content-based image retrieval based on color, texture, shape-based image retrieval region-based image retrieval based on semantic image retrieval relevance feedback
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基于内容的图像检索，检索方法的相关程序，图像检索输出检索图片-Content-based Image Retrieval
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Background of Content Based Image Retrieval(CBIR)
Analysis of Previous Work
Results of Existing Methods
Scalable Image Indexing and Retrieval
Proposed Indexing System(overview)
wavelet transform and HSL color conversion
Feature Space(Ener
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the paper for image retrieval base on shape and depth
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survey on content based medical image retrieval system it contains pre processing feature extraction and selection methods
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Content Based Image Retrieval Based on Geometrical Features Synopsis
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the demand for automatically recognizing and retrieving medical image for screening,reference and management is growing faster than ever.In this paper present an intelligent content based image retrieval system called I-Browsewhich integrate both ico
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是一篇涉及多篇文章的关于图像检索的很好的综述-Is an involving multiple articles a good overview on image retri
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This paper provides a comprehensive survey of the technical achievements in the
research area of image retri , especially content-based image retri , an area that
has been so active and prosperous in the past few years. The survey includes 100+
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