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模糊c均值聚类方法，可以很方便的分割图像。-Fuzzy c-means clustering method, can be very convenient segmentation image.
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模糊均值聚类算法 MATLAB 图像分割-MATLAB fuzzy image segmentation means clustering algorithm
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FLICM是基于模糊局部信息C均值聚类方法，是对传统FCM聚类方法的最新改进方法，其效果明显优于传统算法。-A novel and robust FCM framework for image clustering called Fuzzy Local Information C-means (FLICM) clustering
algorithm.
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对图像进行模糊C均值算法聚类的一个源程序，可以学习一下算法。-The image fuzzy C-means clustering algorithm, a source, can learn about algorithms.
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模糊C均值聚类算法，对图像进行分类，图像处理，多类划分，SAR图像分类-Fuzzy c-means algorithm clustering algorithm, the image classification, image processing, many kinds of division, the SAR image classification
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通过模糊c-均值（FCM）聚类实现图像的分割-Image segmentation by fuzzy c-means (FCM) clustering
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此代码为模糊C均值聚类的图象分割算法的MATLAB实现-This code is the image of the fuzzy C-means clustering segmentation algorithm in MATLAB
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此代码为模糊C均值聚类的图象分割算法的MATLAB实现（与kmeans方法有所不同）-This code is the image of the fuzzy C-means clustering segmentation algorithm in MATLAB
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利用模糊C聚类（FCM）的方法对彩色图像进行分割，期中可以用不通的特征向量来表征图像的特征-Using Fuzzy C-clustering (FCM) method for color image segmentation, mid-term feature vectors can be used unreasonable to characterize the image
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This code deals with the misalignment problem during change detection.it employs a tile object based change detection approach and use threshold level based 3-fuzzy c-mean clustering together with image differencing in process.
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基于图像内容检索的模糊c均值聚类，在matalb中的实现-Realization of fuzzy c-means clustering, based on image content retrieval in matalb
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通过模糊c-均值（FCM）聚类实现图像的分割-Image segmentation by fuzzy c-means (FCM) clustering
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本程序对二维图像可实现模糊C均值聚类，默认聚类为4.-The procedures for the two-dimensional image can be realized fuzzy C-means clustering, the default clustering for 4.
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模糊C均值聚类（FCM）的matlab代码，包括很详细的注释。适用于图像处理。-Matlab code fuzzy C-means clustering (FCM), including very detailed notes. Suitable for image processing.
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将用双线性插值归一化后的图像用2*2的窗口扫描加权方向的边缘图，用改进的模糊C均值聚类算法将图像聚类成为候选文字区域和非文字区域。-Bilinear interpolation owned by an after image edge map with 2* 2 the window scanned weighted direction, image clustering with improved fuzzy C-means clustering algorithm to become the
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模糊C均值聚类算法,将RGB图像转换到HSI空间时进行聚类-Clustering fuzzy C-means clustering algorithm, the RGB image is converted to HSI space
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FCMTHRESH Thresholding by 3-class fuzzy c-means clustering
[bw,level]=fcmthresh(IM,sw) outputs the binary image bw and threshold level of
image IM using a 3-class fuzzy c-means clustering. It often works better
than Otsu s methold which outp
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基于聚类的模糊C均值图像分割算法的实现，将图像分割成两部分-The realization of fuzzy C-means image segmentation algorithm based on clustering, the image is divided into two parts
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基于matlab的模糊均值C的聚类程序，可以实现彩色图像的聚类，能实现程序时间统计-Matlab-based fuzzy mean C clustering procedures, can achieve color image clustering, to achieve the program time statistics
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对《Fuzzy c-means clustering with weighted image patch for image segmentation》这篇文章进行了实现，运行速度在一分钟之内，希望对研究模糊c均值及其拓展算法的人有所帮助。运行testWIPFCM.m即可，注意改掉文件路径-On " Fuzzy c-means clustering with weighted image patch for image segmentation" This article wa
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