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经典彩色图像分割文章《Robust Analysis of Feature Spaces Color Image Segmentation》的c++源码-classic color image segmentation article "Robust Analysis of Feature Sp aces Color Image Segmentation "c FOSS
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较全的mean shift算法合集，有基于mean shift算法的图像平滑处理，图像分割，图像聚类,Than the entire collection of the mean shift algorithm, the mean shift algorithm based on image smoothing, image segmentation, image clustering
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mean shift 彩色图像分割经典算法--VC,mean shift color image segmentation--VC
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基于mean—shift的彩色图像分割,包含了采用mean shift进行彩色图像分割的源代码和2篇相关的论文。-Mean-shift based color image segmentation, including the use of mean shift to color image segmentation of the source code and two related papers.
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本程序首先把图像由RGB空间转到HSI空间，然后利用彩色图像分割策略以及meanshift算法对图像进行分割最后加入边界合成。其中‘keyprogram.m’文件为主程序，‘meanshift.m’文件为调用函数，实现数据的聚类分割。-The program first the image from the RGB space to HSI space and then using color image segmentation strategy and meanshift image seg
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A general technique for the recovery of signi cant
image features is presented. The technique is based on
the mean shift algorithm, a simple nonparametric pro-
cedure for estimating density gradients. Drawbacks of
the current methods (includi
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这也是一个用于颜色分割的程序，只是这个程序可能度函数的时候可能会更方便-This is a procedure used for color segmentation, but this procedure may be the time function may be more convenient
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基于NL_Means的均值平移图像分割算法-NL_Means based on the mean shift image segmentation algorithm
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mean shift图像分割软件,只能对灰度图像进行处理,如果对彩色图像进行处理,需要转换-mean shift image segmentation software, only for grayscale image processing, if the right color image processing, needs to be converted
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为了提高白细胞自动识别算法的性能,提出了基于均值移动和单类支持向量机的血细胞图像分割新方法. 该方法的原理是将图像中颜色相对稳定的背景和红细胞部分像素作为正训练样本,将颜色复杂多样的白细胞像素作为异常数据检测. 均值移动过程用来在红、绿、兰(RGB) 颜色空间寻找正训练样本集,通过均匀抽样和颜色量化措施,实现单类支持向量机(SVM) 在线实时训练,最终图像像素经过单类SVM 分类来实现分割. 实验表明,新方法对涂片制备和光照变化导致的图像颜色改变有很好的适应性,图像分割精度优于常用流域算法,而耗
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用Visual C++实现了用Mean Shift算法进行图像滤波和分割，可以对灰度图像和彩色图像进行处理-Using Visual C++ implementation using Mean Shift algorithm for image filtering and segmentation, can be gray images and color image processing
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基于meanshift的彩色图像分割，对特征空间进行聚类分析。-mean-shift based color image segmentation
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针对均值漂移图像分割方法中只考虑图像颜色和空间信息,对纹理丰富的图像不能进行有效分割的情
况,提出一种新的融合图像颜色、纹理和空间等低层特征信息的图像分割方法
-For mean shift image segmentation methods only consider the image color and spatial information, the texture-rich image can not be effectively separated, put forward
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Color Image Segmentation Based on
Mean Shift and Normalized Cuts
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mean-shift for color segmentation. i am trying with this code.
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基于meansheift的彩色图像分割方法。其中keyprogram.m为主程序。meanshift为调用函数-Color image segmentation method based meansheift. Where keyprogram.m main program. meanshift call the function
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mean shift图像分割，可用于彩色图像和灰度图像。分割效果较好。-mean shift image segmentation can be used for color image and grayscale images. Segmentation better.
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Mean-shift算法用于彩色图像分割，本人已经用在自己的课题上，效果挺好，该算法对遮挡、变形等情况的鲁棒性比较好，但是在背景及目标颜色的分布相类似时，效果将欠佳。-Mean-shift algorithm for color image segmentation, I have used on their own subject, effect is good, the algorithm robustness of shade, deformation, and so on and so
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The goal of segmentation is to simplify and change the representation of an image into something that is more meaningful and easier to analyze. Here similar looking pixels are grouped together for efficiency of further processing. In segmentation a l
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均值漂移图像分割测试程序,使用meanshift算法对彩色图像进行聚类分割，效果很好，并且显示使用时间、RGB与LUV颜色空间的互相转换(Mean shift image segmentation test procedures, the use of meanshift algorithm for color images clustering segmentation, the effect is very good, and show the use of time, find the c
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