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这个源码是用遗传算法对FCM 算法进行改进后的算法，实现了对脑图像的自动分割，速度较快-the source is using genetic algorithms to FCM algorithm for improved algorithm, achieving the right brain's automatic image segmentation, faster
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模糊均值聚类FCM算法对图像的颜色聚类 进行图像分割 聚类个数和聚类中心都是事先决定的-Fuzzy-means clustering algorithm FCM clustering for color image segmentation and clustering the number of cluster centers are determined in advance
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Image thresholding has played an important role in image segmentation. In this paper, we present a novel spatially weighted fuzzy c-means (SWFCM) clustering algorithm for image thresholding. The algorithm is formulated by incorporating the spatial ne
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Here is the technique for modified ant Tree algorithm for MRI brain segmentatin. It is proven that it is more efficient than FCM
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算法目的：通过模糊c-均值（FCM）聚类实现图像的分割-Algorithm Objective: fuzzy c-means (FCM) clustering for image segmentation
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提出了一种基于多通道 Gabo r滤波器和 FCM聚类的图像融合新方法。该方法先利用模糊
C2均值聚类算法在多通道 Gabo r滤波器形成的特征空间上对图像进行区域分割 再对待融合图像进行多尺度小波分解 在此基础上利用 Gabo r滤波器提取高频段纹理特征构造区域相似度 ,应用区域相似度及信息量构造加权因子 ,从而得到融合图像的小波系数 最后 ,利用小波逆变换得到融合图像.-Proposed a multi-channel Gabo r filter and FCM clustering f
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A modified fuzzy c-means image segmentation algorithm for use with uneven illumination patterns and implemention by matlab
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delphi图像分割中的基于FCM算法的图像分割方法-delphi image segmentation based on FCM Algorithm for Image Segmentation
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针对FCM算法的运行时间长和计算量大的问题，提出了改进的FCM算法，先将图像分割成窗口大小的子块，然后以子块为单位提取特征向量，用FCM聚类粗分割，然后对边缘子块，以像素为单位从新提取特征向量，进行细分割。分割后的结果提高了运行速度和分割精度。-For the FCM algorithm and the calculation of long run the problem of large proposed improved FCM algorithm, first image into bl
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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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FLICM一种基于模糊局部信息C均值聚类方法，是对传统FCM聚类方法的最近改进方法，具有更强的鲁棒性，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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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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用模糊C均值算法实现图像分割 ，文件夹中附带有图片和matlab的源程序，已经验证过可以实现对图片的分割-Fuzzy C-means algorithm for image segmentation, there is a folder with pictures and matlab source, has already been verified can be achieved on image segmentation
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fcm——s的图像分割算法，参考了像素的邻域信息-Algorithm for image segmentation based on FCM-- s, the reference pixel neighborhood information
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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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基于fcm的图像处理算法，对于图像的去噪和分割有一定的指导作用-FCM based image processing algorithm for image denoising and segmentation has a certain guiding role
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用fcm算法对图像进行变化检测（首先对图像进行中值滤波，再用fcm算法分割），代码完整。-Using FCM algorithm for image change detection (of image median filtering in the first place, reoccupy FCM algorithm segmentation), code integrity.
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使用FCM算法进行图像分割，大量源代码找作者获得，效果一般般(The use of FCM algorithm for image segmentation, a large number of source code to find the author, the general effect)
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Fuzzy c-means (FCM) clustering has been widely used in image segmentation. However, in spite of its computational efficiency and wide-spread prevalence, the FCM algorithm does not take the spatial information of pixels into consideration, and hence m
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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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