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使用MeanShift进行分割聚类的代码~-The use of segmentation MeanShift clustering code ~
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Meanshift的非监督聚类方法,主要用于图像处理和模式识别。-Meanshift non-supervised clustering method, mainly used in image processing and pattern recognition.
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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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采用了meanshift聚类的方法实现立体视觉双目匹配-Meanshift clustering achieved using binocular stereo vision matching
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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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mean-shift聚类算法matlab实现-Mean-shift clustering algorithm matlab implementation
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meanshift可实现图像分割，聚类，在二维图像处理中应用比较广泛(meanshift can conduct image segmentation, clustering, etc. It has been widely used in computer vision and image processing.)
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meanshift聚类算法源码 可运行(
Meanshift clustering algorithm source code)
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