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实现了比较两图像的相似度，先转化为相同大小，然后生成图像的颜色直方图，最后比较两直方图的相似度,To realize the similarity of two images, first into the same size, and then generate the image color histogram, and finally compare the similarity of two histograms
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基于空间直方图的图像相似度匹配算法，用opencv开发的，适合做跟踪的朋友用,Space-based histogram similarity matching algorithm, using opencv developed suitable for tracking Friend
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利用matlab实现两幅图像之间的相似性度量，主要是基于颜色直方图-Between two images using matlab to achieve similarity measure is mainly based on color histogram
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图像相似度检测，下面是直方图相交的代码，同种图片的识别率达90％以上，性能非常稳定。
程序的例子是8位（256色）位图，其他位图类似。
-Image similarity detection, the following is the histogram intersection of the code, the same kinds of picture identification rate of 90, performance is very stable. Procedure
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实现BMP图像的直方图均衡化，并集成了两幅图片的相似度匹配，能输出匹配度-Achieve BMP image histogram equalization, and integrated picture of the similarity of the two match, output match degree
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A new approach toward target representation and localization, the central component in visual tracking
of non-rigid objects, is proposed. The feature histogram based target representations are regularized
by spatial masking with an isotropic kern
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用的是局部颜色特征，再说细点是用里面的区域颜色直方图的方法。把图像归一化到256X256，把图像分成4X4块，计算16个区域的颜色直方图、、、
最后计算相似度是用欧氏距离.-Using local color feature, repeat fine-point is inside the regional color histogram method. The normalized image to 256X256, the image is divided into 4X4 blocks
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The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all
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-The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all
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近年来，随着互联网的高速发展，网上的多媒体信息也急剧增加，这些多媒体信息以图像为主。如何从浩瀚的图像数据库中快速、准确地找出所需要的图像，己成为一个备受关注的研究课题。有效地组织、管理和检索大规模的图像数据成为迫切需要解决的问题。于是基于内容的图像检索(Content-Based Image Retrieval: CBIR)作为一个崭新的研究领域出现了。
本课题拟研究、分析彩色图像红、绿、蓝三基色直方图的生成、特征提取和相似度等问题，应用图像的颜色信息—三基色直方图对图像进行检索。针对基于颜
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由图像的颜色直方图求取相应的区域颜色熵，利用该信息判断出两幅图像间的相似度，可将其利用到诸如镜头检测之类的场合中-Use color histogram to calculate corresponding regional color entropy, use this information to determine the similarity between two images,which can be used to detect the occasions such as shot
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Measuring similarity between images using Color Histogram approach
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图像相似度检测，下面是直方图相交的代码，同种图片的识别率达90％以上，性能非常稳定。 程序的例子是8位（256色）位图，其他位图类似.-Image similarity detection, the following code histogram intersect the same kind of picture identification rate of 90 , performance is very stable. Examples of the program is 8-bit (
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基于opencv和vs2008实现了两幅图像进行直方图对比，可以检测相似度-Based opencv and vs2008 achieve the two image histogram contrast, can detect similarity
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是一款关于直方图相似性研究的程序，能对比两幅图像直方图的相似度-Is a histogram similarity study program can compare two images histogram similarity
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根据直方图特征，用巴氏系数算法求出源图像和要搜索图像的相似度-According histogram with pasteurized factor algorithm derived source image and the image you want to search for similarity
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Simple but effective example of "Region Growing" from a single seed point.
The region is iteratively grown by comparing all unallocated neighbouring pixels to the region. The difference between a pixel s intensity value and the region s mean, is
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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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研究两幅图像匹配相似度衡量的方法，利用直方图的相关知识，采用相关，卡方，直方图相交,Bhattacharyyahe和EMD方法实现对两幅图像的相似度衡量。-Study two images matching similarity measure method, using the histogram of the relevant knowledge, using relevant, chi-square, histogram intersection, Bhattacharyyahe and
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求算目标与背景的灰度直方图 相似度，本人硕士论文程序-Seeking calculate target and background histogram similarity, I master s thesis program
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