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基于颜色矩特征的图像检索:首先RGB颜色空间转换到HSV颜色空间;针对HSV三个分量计算颜色矩作为图像的内容特征;计算查询图像与图像库中每幅图像的相似距离,排序后给出检索结果。-Moment features based on color image retrieval : First RGB color space conversion to HSV color space; Three weight against HSV color calculated moments as images
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基于分块代表色的图像检索:固定划分图像,提取每个分块的代表色作为特征-Block-based representative color image retrieval : fixed classified images from each block of color as representative of
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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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Color-Based Image Retrieval Using Spatial-Chromatic Histograms
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Color Image Retrieval Based on 2D Strings
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基于内容的图像检索主颜色直方图的提取,从图像的获取到直方图现实到特征的提取,最后根据图像检索出与所给图像最相似的图像。-Content-based image retrieval dominant color histogram extracted from the images to get to the real histogram feature extraction, the last based on the image to retrieve the image with the m
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基于兴趣点颜色及纹理特征的图像检索算法,通过同类比较,平均检索准确率提高11个百分点。-Based on the interest points and texture features of color image retrieval algorithm, through a similar comparison, the average retrieval accuracy rate of 11 percent improve.
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将图像颜色量化为72种。可以做图像检索用的好东西-Images for 72 kinds of color quantization. Image retrieval can be done with good things! !
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基于内容的图像检索,包括纹理、形状、颜色-Content-based image retrieval, including texture, shape, color
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提出了一种新的基于区域的图像检索方法。与传统的基于区域的检索方法相比,论文从组成目标对象的基本结构角度出发分割图像,利用少量色彩等级更易描述对象主要构成的特性提取一组能够描述对象基本组成的区域序列。采用这些区域列的面积作为图像特征,用于图像检索。-A new region-based image retrieval. Traditional region-based retrieval methods, papers from the composition of the basic struc
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基于颜色特征的十种图像色彩检索算法的优缺点比较,值得参考学习-Ten kinds of image retrieval algorithm based on color feature
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用Visual c++实现的基于颜色的图像检索系统-Use Visual c++ to achieve color-based image retrieval system
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基于颜色分块的论文,很不错,值得看的一篇论文 基于分块主颜色匹配的图像检索
中文的-Color block-based papers, very good, worth looking at the paper-based block the main colors match the image retrieval Chinese
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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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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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基于颜色直方图和形状不变矩相结合的图像检索-Based on color histogram and shape invariant moments combined image retrieval
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基于颜色和形状特征的图像检索,有打开检索图片,打开库,开始检索,图片按相似度排列。-Based on color and shape characteristics of image retrieval
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本文主要研究基于图像颜色特征的检索。选用基于颜色直方图的算法,并利用Visual Basic程序设计语言和Access数据库技术设计实现了基于颜色直方图算法的图像检索系统。-This paper studies the characteristics of the color-based image retrieval. Selection algorithm based on color histogram and use Visual Basic programming language a
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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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小波变换 颜色特征 纹理特征 图像检索 多尺度 复小波理论 -Wavelet transform color texture image retrieval feature multi-scale complex wavelet theory
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