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JPG图像检索系统-JPG Image Retrieval System
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一个简单的基于颜色的图像检索系统，是本人的毕业设计！-a simple color-based image retrieval system, I graduated from the design!
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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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基于spline的图像感兴趣区域提取，可用于基于区域的图像检索系统中。-spline - based region of interest image extraction, can be used for regional image retrieval system.
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一个图像检索系统的源代码，一个开发好的系统，供大家参考-an Image Retrieval System source code to develop a good system for reference
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毕业设计做的一个图像检索系统，实现基于颜色直方图、累加直方图的检索-Graduation to do an image retrieval system, color-based histogram, cumulative histogram of the retrieval
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用c++实现的基于纹理特征的图像检索系统,Using c++ to achieve the texture-based Image Retrieval System
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Information Retrieval Toolkit
很出名的图像检索系统-Information Retrieval Toolkit famous image retrieval system
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介绍了一个基于特征的图象查询和检索系统.该系统由查询模块、特征提取和描述模块、匹配模块、图象显示模块和图象库管理模块组成.系统既支持基于颜色、纹理、形状的单一特征查询,也支持结合不同特征的更符合视觉要求的综合特征查询.该系统已结合实际图象库进行了查询和检索实验,文中给出一些实际检索结果.
-Describes a feature-based image query and retrieval system. The system consists of query module, featu
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E-Medical Resources Library (EMRL), is amultimedia information retrieval system which provide end user to do a search on Medical resources in different of media type. By using EMRL, end user can search the text, image, audio, video and others informa
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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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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
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图像检索系统源码,仅用于商业学习!具体操作步骤如下：
1.输入带检索图像。
2.选择检索库路径。
3.选择检索方式：基于颜色特征、基于形状特征或者基于颜色和形状综合特征。
4.点击【开始检索】按钮即可得到检索结果。-The source of the image retrieval system, used only for commercial learning! Specific steps are as follows: 1. Input with retrieval of
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要求设计一个基于颜色直方图的图像检索系统。该系统能够实现对图像的检索功能，例如，在一万幅图像中搜索出与检索图像相似的图像，依相似程度的大小显示出来。最后用查全率和查准率对系统进行评估。-To design a color histogram based image retrieval system. The system can realize the image search function, for example, a square image search and retrieval
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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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基于颜色和形状的图像检索,主要有图像提取技术和相似度计算技术。-image retri based on color and shape
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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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一个可通过颜色、纹理、SHIFT特征来进行图像检索的系统，可以根据需要选择匹配方式，对图像检索具有良好效果。-May be performed by a color, texture, SHIFT feature image retri system, you can choose matching needed for image retri with good results.
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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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