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利用模糊C均值图像分割
- 利用模糊C均值图像分割,此为matlab环境下的仿真代码.,Using fuzzy C-means image segmentation, this matlab code simulation environment.
FCM.模糊C均值图像分割方法的Matlab程序源代码
- 上传内容为模糊C均值图像分割方法的Matlab程序源代码,From the contents of the fuzzy C-means image segmentation of the Matlab source code
FuzzyCMean.zip
- 图像处理 模糊C均值算法 MATLAB代码 压缩包解压时没有密码,Image processing fuzzy C means algorithm MATLAB code extracting compressed package without a password
Segment.rar
- 彩色图像分割程序，采用k-means算法，用c++语言编写。 ,Color image segmentation procedures, the use of k-means algorithm, with c++ languages.
yiqunmoxingfege.rar
- 基于蚁群算法的模糊C均值聚类医学图像分割方法的研究,Ant colony algorithm based on Fuzzy C-Means Clustering Method for Medical Image Segmentation
julei
- 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.
fcm
- 模糊C均值分类，用于图像处理中 很好用的，极力推荐 -Fuzzy C-means classification, used for image processing in a very good use, and strongly recommend
mh
- 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.
73462683ClusterImageSeg
- 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
fcm
- 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.
hehanshufcm
- 用Matlab实现基于核函数的C均值聚类图像分割，实验好，好用-Using Matlab implementation of kernel-based C-means clustering image segmentation, experimental is good, easy to use
colorimage_seg_VC
- 利用模糊C均值聚类法实现彩色图像分割，Visual c++ 6.0 实现。-color image segmentation using C-means clustering, implementation by Visual c++ 6.0
muhujuleituxiangfenge
- 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
FCM-vs-ESSC
- 模糊聚类图像分割，还包括spectral clustering及其改进版（按照pr2010某paper）-image segmentation using fuzzy c means & spectral clustering
FCM-C-mean-cluster-segment-[matlab]
- 模糊C均值聚类的matlab实现，模糊C均值聚类是一种利用模糊数学做的聚类方法，属于图像分割的一种。可利用聚类结果用于图像分析和识别。-FCM,C mean cluster segment [matlab].rar
c-means-(FCM)-
- 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
Fuzzy-C-means-algorithm
- 模糊C均值聚类算法用于图像分割，可以直接应用-Fuzzy C-means clustering algorithm for image segmentation, can be directly applied
2.2 图像分割技术
- FCM算法是一种基于划分的聚类算法，它的思想就是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进，普通C均值算法对于数据的划分是硬性的，而FCM则是一种柔性的模糊划分。在介绍FCM具体算法之前我们先介绍一些模糊集合的基本知识。(The FCM algorithm is a partition-based clustering algorithm. Its idea is to make the similarity among the obj
用FCM实现分割
- 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.)
fcm
- 一种快速的抗噪声模糊C均值图像分割算法 图像分割就是把图像分成若干个特定的、具有独特性质的区域并提出。该算法结合像素灰度值相似度和隶属度构造了一个新的空间函数。该空间函数用于更新成员关系，而成员关系又用于迭代地获取聚类中心。所提出的算法可以在较少的迭代次数下获得理想的分割结果，有效地降低了噪声的影响。(A fast anti noise Fuzzy C-Means Image Segmentation AlgorithmImage segmentation is to divide the i