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基于内容的图像检索,基于CXIMAGE类的图像检索软件系统,能够实现文件夹下的相似图像检索,并且选择显示的图像.-content-based image retrieval, CXIMAGE category based image retrieval software system folders can be achieved under similar image retrieval, and the selection and display of images.
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一种基于HSV颜色空间的图像检索技术
随着大规模数字图像库的出现，基于内容的图像检索技术（CBIR）应运而生。而颜色特征是在图像检索中应用最为广泛的视觉特征，因此设计并实现一个基于颜色的图像检索系统具有一定的前沿性和实用性-an HSV color space-based image retrieval technology with the massive digital image library there. Content-Based Image Retrieval (CBIR) c
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JPG图像检索系统，实现基于内容的图像检索,JPG image retrieval system for content-based image retrieval
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该代码为用tamura算法提取图像的纹理特征，包括粗糙度、对比度等，可用于基于内容的图像检索系统-The code for the algorithm used tamura extracted texture features, including roughness, contrast, etc., can be used for content-based image retrieval system
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基于内容的图像检索系统的性能评价标准的研究-Content-Based Image Retrieval System Performance Evaluation Standards
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基于内容的图像检索系统fire-2.2
功能强大-Content-based image retrieval system powerful fire-2.2
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一种基于内容的图像检索系统平台的设计与实现-A Content-based Image Retrieval System Platform Design and Implementation of
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用visual C++ 编写的基于内容的图像检索系统，主要是通过颜色直方图和欧式距离的-Using visual C++ written in content-based image retrieval system, primarily through color histogram and the Euclidean distance of the
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该功能具有图像检索功能，基于内容图像检索系统，运用c++与matlab的结合，各取所长，开发成为满意的软件。-This feature has the image retrieval, content-based image retrieval system using c++ and matlab combination of different advantages, development of a satisfactory software.
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CBIR system....content based image retrieval system project folder
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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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CONTENT BASED IMAGE RETRIEVAL
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该程序实现了基于内容的图像检索系统，包含多种检索算法，检索准确率较高。-The program implements the content based image retrieval system, contains a variety of retrieval algorithm, high retrieval rate.
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基于内容的图像检索，分别基于图像的颜色、纹理和形状进行检索。-Content-based Image Retrieval
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图像检索中常用的特征提取与相似度计算技术，以及基于内容的图像检索系统的实现方法。-That is commonly used in image retrieval feature extraction and similarity calculation techniques, as well as the realization method of content-based image retrieval system.
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基于内容的图像检索，颜色直方图的图像检索开发工具：Visual C++6.0
开发内容：MFC基于对话框的图像检索系统
-Content-based image retrieval, color histogram image retrieval development tools: Visual C++6.0
Development of content: MFC dialog-based image retrieval system
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基于综合特征的图像检索系统程序，直接打开Run.m后运行，
先选待匹配图片，在输入权重，默认文件路径在Pic文件夹下.-Content-Based Image Retrieval System
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Image retri techniques are useful in many image-processing applications. Content-based image retri systems work with whole images and searching is based on comparison of the query. General techniques for image retri are color, texture and shape. Thes
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基于内容的图像检索系统（Content Based Image Retri , 以下简称CBIR），是计算机视觉领域中关注大规模数字图像内容检索的研究分支。典型的CBIR系统，允许用户输入一张图像，在图像数据库（或本地机、或网络）中查找具有相同或相似内容的其它图片。本实训的基本功能要求是实现基于视觉特征的图像检索。-Content-based image retri system (Content Based Image Retri , hereinafter referred to as C
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随着计算机科技的发展，图像检索的应用也越来越成熟，根据检索性质可分为两类：基于文本的图像检索和基于内容的图像检索。本论文通过研究基于内容的图像检索中的几个核心算法，用于聚类分析的K-means算法，通过haar小波变换来提取图像底层视觉特征，以及使用F-范数理论来进行相似性度量，来设计一个离线的图像检索系统。(With the development of computer technology, the application of image retrieval is more and mo
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