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所谓基于内容图像的检索是指由图像分析软件对输入的图像先进行图像分析，根据图像中物体或区域的颜色(color)、形状(shape)或纹理(texture)等特征以及这些特征的组合，自动抽取特征，在将输入图像存入图像库的同时将其相应的特征向量也存入与图像库相连的特征库。-so-called content-based image retrieval is by image analysis software on the importation of the first images for ima
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这是我本科的毕业设计做的关于医学图像的基于形状的图像检索。预处理用小波去噪 ，特征选用不变矩。-This is my undergraduate graduation design done on the medical images based on the shape of the image retrieval. Pretreatment with wavelet denoising, feature selection invariant moment.
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图像检索_基于MPEG-7形状特征的图像检索技术研究-_ Image Retrieval Based on MPEG-7 shape features of image retrieval research
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状是含有高层语义信息的视觉特征，在基于内容的图像检索及图像识别中具有重要的应用价值。有很多种描述子可以描述图像的形状特征，傅立叶描述子可以把二维的图像轮廓信息简化成一维问题进行处理，应用非常广泛。然而自然图像的形状特征通常是杂乱的，有噪声的，提出了一种图像预处理方法，得到净化的形状图像，通过实验研究傅立叶描述子算法提取形状特征的效果。-Abstract Shape is a visual feature which contains intrinsic high-level semantics
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matlab 基于形状的图像检索算法 关于七个不变矩的主要算法 中 主要体现出 输入输出 的步骤！ -matlab image retrieval algorithm based on the shape of seven invariant moments on the main algorithm is mainly reflected the input and output of the steps! ! ! ! ! ! !
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matlab 基于形状的图像检索算法 关于七个不变矩的主要算法 中 主要体现出 输入输出 的步骤！ -matlab image retrieval algorithm based on the shape of seven invariant moments on the main algorithm is mainly reflected the input and output of the steps! ! ! ! ! ! !
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Image Retrieval C++.
A prototype system that allows the user to perform image matching based on at least one of the following visual attributes: -
(a) Shape
(b) Color
Assumed that the given query is a sample image where the retrieved im
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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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一个Java实现的基于内容的图像检索工具包，可用来提取图像的颜色特征、纹理特征（Gabor Filter）以及形状特征，并在此基础上判断图像相关性。-Java implementation of a content-based image retrieval toolkit, which can be used to extract the image' s color features, texture features (Gabor Filter), and shape feature
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基于不同特征的图像检索技术，颜色、纹理、形状、空间关系等特征提取的基础上，基于语义的图像检索技术-Different characteristics based image retrieval, color, texture, shape, spatial relations, feature extraction based on semantic-based image retrieval. Rar
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基于内容的图像检索技术的关键在于特征提取，是利用图像的颜色、形状、纹理、轮廓、对象的空间关系等客观独立的存在于图像中的基本视觉特征作为图像的索引，计算查询图像和目标图像的相似距离，按相似度匹配进行检索。综合国内外研究现状，可将基于内容的图像检索技术分为如下几种类型:基于颜色特征的检索、基于纹理特征的检索、基于形状及区域的检索、基于空间约束关系的检索。-Based on comparing various affine invariant regional basis, selection of
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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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基于形状矩的图像检索，对识别不同形状的目标效果较明显-Shape-based image retrieval moments, on the identification of different shapes obvious target effects
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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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首先通过提取图像的形状信息作为其特征向量，然后，实现了一款以图像形状信息作为检索依据的图像检索软件-image retrieval based based on shape feature
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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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基于颜色形状纹理特征的图像检索，matlab界面，corel库，原创程序。-Image retri based on color shape texture feature, matlab interface, corel library, original program.
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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，能搜索相似图像。基于颜色，形状和纹理的图像检索。(Content based image retrieval can search similar images. Image retrieval based on color, shape and texture.)
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