搜索资源列表
Fuzzy_K
- 高光谱遥感图像模糊c均值聚类算法的matlab实现-hyperspectral remote sensing images fuzzy c-means clustering algorithm to achieve the Matlab
200707171151133491
- 一种基于模糊c均值聚类的彩色图像区域分割方法，该方法首先选用适合的彩色空间，然后利用c均值聚类的方法，最终实现图像分割
FCM
- 利用java编写的模糊C均值聚类算法，可以用来图像无监督聚类及图像分割等。
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
fcm
- 介绍几种模糊c均值聚类算法，利用该算法进行点云以及图像的分割。-fuzzy c means clustering
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
juleisuanfa2
- 介绍了基于C均值聚类和基于核函数的C均值聚类两种图像分割的方法-Introduced based on the C-means clustering, and Kernel-based C-means clustering two kinds of image segmentation methods
KMEANS
- 用C语言实现的基于均值聚类算法的图像分割的中心程序-c kmeans
entati
- 非局部加权模糊C均值聚类图像分割Non-locally weighted fuzzy C-means image segmentation-Non-locally weighted fuzzy C-means image segmentation
kind
- candy边缘检测，彩色图像的边缘检测，K均值聚类，sobel边缘检测（C）其他是matlab程序-candy edge detection, color image edge detection, K-means clustering, sobel edge detection (C) the other is a matlab program
FCM
- 模糊C均值聚类分割图像 MATLAB源码-Fuzzy C-Mean segment image matlab code
FCM
- 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
julei
- 图像c-均值聚类分割 简单的图像分割，c=2，较为基础-Images of c-means clustering segmentation
fcmeans
- 实现快速c均值聚类，能快速有效的对图像实现聚类分割，效果不错。-Rapid c-means clustering, can quickly and effectively split the image clustering, good results.
FCM-Image-Segmentation
- 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.
matlab
- 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
C-Mean
- 本程序是基于c均值聚类的图像分割 开发环境 vs2008 语言c#-This procedure is based on the c-means clustering image segmentation development environment vs2008 language c#
fuzzy_c_mean
- 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.
FCM
- 实现灰度图像的模糊C均值聚类，并显示迭代次数和迭代结果(The fuzzy C mean clustering of gray image is realized, and the number of iterations and iterations are displayed.)
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.)