搜索资源列表
ClusterImageSeg
- 一个利用各种聚类算法实现遥感影像分割的程序，包括K均值、ISODATA、模糊C均值等！-use of a clustering algorithm remote sensing image segmentation procedures, including K-means, ISODATA, Fuzzy C - Means, and so on!
DllFCM
- 一个采用模糊C均值（FCM）算法实现图像分割的DLL程序！可以用来处理8位的BMP图像！-a fuzzy c-means (FCM) image segmentation algorithm DLL procedures! Can be used to deal with eight of BMP images!
DllFFCM
- 一个采用快速模糊C均值（FFCM）算法实现图像分割的DLL程序！可以用来处理8位的BMP图像！-a fast fuzzy c-means (FFCM) image segmentation algorithm DLL procedures! Can be used to deal with eight of BMP images!
fcm789.ZIP
- 模糊C均值聚类算法的MATLAB实现，比较经典的程序
isodata.rar
- 通过idl编程实现图像的isodata分类算法，结果表明isodata在图像分类中可以取得较好的结果。,Idl programming through ISODATA image classification algorithm, ISODATA results show that in image classification can be achieved better results.
ImageClustering.rar
- 本程序实现了K均值(HCM)算法，ISODATA算法，模糊C均值(FCM)，模糊阈值法等对遥感影像的分割。,This program implements K means (HCM) algorithm, ISODATA algorithm, fuzzy C means (FCM), fuzzy threshold law of remote sensing image segmentation.
FCM
- 模糊c均值算法，该代码可实现脑肿瘤的分割，效果不错。代码中的GUI直接运行好像有问题，要重新编译。-this code is about FCM.it can carry out the segmentation of brain tumor .the GUI need to compile at the beginning and cannot use it directly
fcm
- 采用模糊c均值聚类算法用以实现对图像的分割，以利于人们的研究处理-Fuzzy c
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-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
fcm
- 这是模糊c均值聚类的图像分割算法 用来实现图像的分割-this is a code of fuzzy c-means separating the image
kmeans
- 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
FCM
- 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
fuzzykernal
- 又一种模糊C均值聚类的图象分割算法的MATLAB实现-Another fuzzy C-means clustering image segmentation algorithm in MATLAB to achieve
FuzzyCmeansWithWeightedImagePatch
- 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
fcm_code
- 模糊C均值聚类(FCM)算法的实现Matlab源码（其中命名为fcm.m的文件为一个完整的应用函数，其余几个文件为分割开使用的单独的函数）适合于研究图像分割算法的同仁们借鉴。-Fuzzy C-means clustering (FCM) algorithm Matlab source code (which is named fcm.m file a complete application functions, the rest is split open several files usin
FCM
- 自己实现的，模糊C均值聚类的代码，在K-mean上添加了隶属度矩阵。注释详细，方便理解算法步骤-my implementation, Fuzzy C-Means clustering code in the K-mean adding a membership matrix. Notes detailed, easy to understand algorithm steps
模糊C均值算法
- 亲测，能实现模糊C均值聚类的MATLAB程序(MATLAB program that can realize fuzzy C mean clustering)
fcm算法解释
- 包含基于matlab的粗糙模糊c均值算法实现及相关解释说明(Include matlab based programs and instructions)
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.)