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we present an improved fuzzy
C-means (FCM) algorithm for image segmentation by introducing
a tradeoff weighted fuzzy factor and a kernel metric. The
tradeoff weighted fuzzy factor depends on the space distance of
all neighboring pixels and th
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Magnetic resonance (MR) images can be used to detect lesions in the brains of multiple sclerosis (MS)
patients and is essential for diagnosing the disease and monitoring its progression. An automatic method is
presented for segmentation of MS les
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在opencv环境下使用fuzzy c means和kmeans算法实现图片像素RGB值聚类，希望对大家有帮助-using fuzzy c means and k-means algorithm to realize the RGB image segmentation in opencv.
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This program illustrates the Fuzzy c-means segmentation of an image.
This program converts an input image into two segments using Fuzzy k-means
algorithm. The output is stored as fuzzysegmented.jpg in the current directory.
This program ca
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image segmentation using Fuzzy C Means Clustering algorithm
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基于局部信息的模糊C均值聚类算法（FLICM），是在FCM聚类算法的基础上结合了图像的邻域信息，有更好的鲁棒性。-Fuzzy C-means clustering algorithm based on local information (FLICM), is a combination of neighborhood information image on the basis of FCM clustering algorithm has better robustness.
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Fuzzy c-means thresholding用于图像分割，有示例图，可以运行-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 wo
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FTH is a fuzzy thresholding method for image segmentation. The method is based on relating each pixel in the image to the different regions via a membership function, rather than through hard decisions. The membership function of each of the regions
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利用模糊C均值来分割图像成3个部分.会计算分割面积-use fuzzy c means to segment an image into 3 region of interest.
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基于区域的空间域图像融合。先对源图像作小波分解，低频分量加权平均，高频分量用模糊C均值聚类算法进行区域分割，对区域进行基于ssim值的融合，最后小波逆变换得到融合图像。-region based spatial domain method.First do the source image wavelet decomposition low frequency components weighted average of the high frequency component using Fu
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using fast generated fuzzy c-means (fgfcm) for image segmentation.
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resonance imaging (MRI) data and estimation
of intensity inhomogeneities using fuzzy logic. MRI intensity
inhomogeneities can be attributed to imperfections in the
radio-frequency coils or to problems associated with the acquisition
sequences
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that arises the surface coil array.
This entropy-based method does not require classification and
robustly addresses some problems that are more severe than
those found in brain imaging, including noise, steep bias field,
sensitivity of arter
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基于 MATLAB 核图像模糊C均值算法，有用的代码。-Based on MATLAB nuclear image fuzzy C-means algorithm, useful code.
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此方法为基于水平集的空间信息模糊C均值，用于图像分割-This method is based on the level of spatial information sets Fuzzy C-means, an image segmentation
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文章MR Brain Image Segmentation Using an Enhanced Fuzzy C-Means Algorithm的代码实现(the code of MR Brain Image Segmentation Using an Enhanced Fuzzy (:-Means Algorithm)
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文章Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation的代码实现(the code of Fast and robust fuzzy c-means clustering algorithms incorporating
local information for image segmentation)
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文章Fuzzy C-Means Clustering With Local Information and Kernel Metric for Image Segmentation的代码实现(the code of Fuzzy C-Means Clustering With Local Information and Kernel Metric for Image Segmentation)
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模糊C均值(FCM)聚类算法分割图像，该算法可以进行图像的分割(Fuzzy C-Means (FCM) clustering algorithm to segment images, which can be used for image segmentation)
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基于模糊C-均值聚类算法的图像分割，消除二值分割的非此即彼的缺陷(Image segmentation based on fuzzy C- means clustering algorithm eliminates the defects of two value segmentation.)
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