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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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mean shift 图像分割 c++ edition-mean shift image segmentation
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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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通过模糊c-均值（FCM）聚类实现图像的分割。-Through the fuzzy c-means (FCM) clustering to achieve image segmentation.
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模糊C均值聚类算法处理的图像分割，模糊C均值聚类算法处理的图像分割-An image segmentation method via fuzzy c-means clustering with edge and texture information is proposed. it uses the weighting fuzzy c-mean clustering algorithm to fast implement the segmentation procedure.
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fuzzy-c-mean image segmentation
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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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image segmentation: fuzzy c-mean
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一种新的快速迷糊C均值聚类图像的分割算法。对于模糊聚类的图像分割的速度慢的这一缺陷进行了改进。-A new fast confused C clustering image mean segmentation algorithm. For fuzzy clustering image segmentation speed slow this defect was improved.
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这是一种基于均值漂移算法的图图像分割Visual C源代码。
-This is a map image segmentation based on mean shift algorithm Visual C source code.
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fuzzy c mean image segmentation
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本程序是基于c均值聚类的图像分割 开发环境 vs2008 语言c#-This procedure is based on the c-means clustering image segmentation development environment vs2008 language c#
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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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This the MATLAB code that was used to produce the figures and tables in Section V of
F. Forbes and G. Fort, Combining Monte Carlo and mean-field like methods for inference
in Hidden Markov Random Fields, Accepted for publication in IEEE Trans. on
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【matlab编程代做】使用两个图像输入模糊C+-均值图像分割 可以做为参考使用学习-[Do] matlab program generation using two image input fuzzy C+- mean value can be used as a reference image segmentation using learning
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【matlab编程代做】使用两个图像输入模糊C+-均值图像分割-[Do] matlab program generation using two image input fuzzy C+- Mean image segmentation
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自己编写的matlab程序，实现了图像的模糊C均值分割，没有调用工具箱里的fcm函数，里面的图像，代码文件齐全，亲测可用-I have written the matlab program,did not call the toolbox FCM function to achieve the image of the fuzzy C mean segmentation. The code file is complete, can be debugged.
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模糊C均值聚类的图像分割算法，基于标准的模糊C均值聚类的图像分割算法，可以手动调整要分类的类别，最后输入分类好的图像-Image segmentation method based on standard fuzzy C mean clustering
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动态聚类算法——C均值，在向量量化和图像分割等领域有着广泛的应用，模式识别。-Dynamic clustering algorithm C mean, in the vector quantization and image segmentation has been widely used in areas such as pattern recognition.
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Mean Shift图像分割代码，改编自Edison软件，需要自己补充图像读取部分-mean shift image segmentation code，C++
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