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根据D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis 以及
C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision.这两篇文献提供的方法编写的图像分割代码，作者是
Chris M. Christoudias, Bogdan Georgescu，代码经我看了后加了丰富的中文注释，
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均值漂移算法是一种基于颜色特征的无参密度估计算法，被人们广泛的应用于图像滤波、聚类分析和目标跟踪等领域。-Mean shift algorithm is a nonparametric density estimation algorithm based on color feature, which is widely used in the fields of image filtering, clustering analysis and target tracking.
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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。，实现数据的聚类分割。-The program first the image the RGB space to HSI space and then using color image segmentation strategy and meanshift image segmentation algorithm synthesis of the last to jo
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用于聚类，确定聚类半径，聚类中心。用于跟踪。-Clustering is used to determine the radius of the cluster, the cluster center. For tracking.
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Clustering using Meanshift Algorithm
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clustering in an image using guassian meanshift method
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mean-shift聚类算法matlab实现-Mean-shift clustering algorithm matlab implementation
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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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利用meanshift算法对图像进行滤波。meanshift可用于滤波、追踪、聚类、分割等(The image is filtered by means of shift algorithm. Meannshit can be used for filtering, tracking, clustering, segmentation, etc.)
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