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基于内容的图像检索中的一些关键环节:特征提取:颜色直方图;纹理特征等
相似度:马氏距离,欧氏距离等
相关反馈:机器学习方法,如SVM,神经网络等
检索与分类:两个很相似的样本距离很小,虽然两个不相似的样本距离未必很大-content-based image retrieval of some of the key issues : Feature Extraction : color histogram; Texture characteristics of simila
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一种特征库可更新的相关反馈图像检索方法,写的比较详细做图像检索反馈时可以参考-a feature library can be updated relevance feedback image retrieval methods, write more detailed feedback so images can be indexed reference
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一种基于svm相关反馈的图象检索算法-svm based relevance feedback algorithm for image retrieval
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一个基于内容的图像检索程序,用于相关反馈检索,采用自己研制(已发表)的查询点学习算法。-a content-based image retrieval procedure for relevance feedback retrieval, own research (published) inquiries point learning algorithm.
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matlab编程,基于颜色和纹理的图像检索算法的研究,思路清晰,方法有效。,matlab programming, based on the color and texture image retrieval algorithm is clearly thought effective.
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The GIFT (the GNU Image-Finding Tool) is a Content Based Image Retrieval System (CBIRS: http://en.wikipedia.org/wiki/CBIR). It enables you to do Query By Example (QBE: http://en.wikipedia.org/wiki/QBE) on images, giving you the opportunity to improve
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该代码为基于内容的图像检索系统CBIR中相关反馈的代码,相关反馈可以提高检索的查全查准率-The code is content-based image retrieval system, relevance feedback CBIR in the code, relevance feedback can improve the retrieval recall precision
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基于支持向量机的相关反馈图像检索算法
相关反馈技术是近年来在图像检索中较为重要的
研究方法, 从机器学习的角度, 以支持向量机(SVM ) 为分类器, 提出了一种新的相关反馈方法-Support vector mach ine based relevance
feedback algorithm in image retrieval
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个人代码,实现了基于内容的图像检索,包括relevance feedback, virtual feature等特性,基于KDE paper: long-term cross-session relevance feedback in image retrieval-Personal code, to achieve a content-based image retrieval, including relevance feedback, virtual feature and other f
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Content-based medical image retrieval is now getting more and more attention in the
world, a feasible and efficient retrieving algorithm for clinical endoscopic images is urgently
required. Methods: Based on the study of single feature image retr
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论文《A Stochastic Approach to Image Retrieval Using Relevance Feedback and Particle Swarm Optimization》的代码-the code of <A Stochastic Approach to Image Retrieval Using Relevance Feedback and Particle Swarm Optimization>
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粒子群优化算法及其在图像检索中相关反馈上的应用-Particle Swarm Optimization and its relevance feedback in image retrieval
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基于图像检索的matlab代码,基于内容的图像检索中的一些关键环节:特征提取:颜色直方图;纹理特征等 相似度:马氏距离,欧氏距离等 相关反馈:机器学习方法,如SVM,神经网络等 检索与分类:两个很相似的样本距离很小,虽然两个不相似的样本距离未必很大-content-based image retrieval of some of the key issues : Feature Extraction : color histogram Texture characteristics of si
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Content based image retrieval with relevance feedback tree.
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