搜索资源列表
matlab.rar
- 模糊聚类的图像分割,用matlab语言编写实现模糊聚类的图象分割。,Fuzzy clustering image segmentation, matlab language used to achieve fuzzy clustering image segmentation.
FCMClust.rar
- FCM聚类，实现图像分割，可以将图像分成多类,FCM
kmeans
- 快速K均值聚类图像分割算法源代码，能很好的实现图像的分割处理-Fast K-means clustering algorithm for image segmentation source code, can achieve very good to deal with image segmentation
Wallpapers-based-on-mean-shift
- 本程序首先把图像由RGB空间转到HSI空间，然后利用彩色图像分割策略以及meanshift算法对图像进行分割最后加入边界合成。其中‘keyprogram.m’文件为主程序，‘meanshift.m’文件为调用函数，实现数据的聚类分割。-The program first the image from the RGB space to HSI space and then using color image segmentation strategy and meanshift image seg
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.
c_mean
- 用matlab实现的c均值聚类算法，用于图像分割，分割效果很好-Matlab achieved with c-means clustering algorithm for image segmentation, segmentation well
yansejulei
- 图像颜色聚类分割，实现了图形分割，基于RGB特征并显示出来。-Color image segmentation clustering, to achieve the graphics division, based on the characteristics of RGB and displayed.
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_segmentation
- 利用K均值聚类实现彩色图像分割,效果不错-Color Image segmentation using K-means clustering
Kmeans_grayimage
- 简单的灰度图像的K均值聚类分割，Matlab实现-gray image segmentation using K-means clustering by matlab.
ZPclustering
- 用于图像分割的自调整普聚类算法，可实现大多数图像的无监督分割-Self-tunning spectral clustering for image segmentation
exp1
- 通过模糊c-均值（FCM）聚类实现图像的分割。-image divide
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
- 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
Ktuxiang
- 已调试好的基于K均值聚类的图像分割matlab实现，案例有灰度图像分割和真彩图像分割-failed to translate
k_means
- matlab中使用k-means聚类实现图像分割-using k-means clustering matlab image segmentation
watershed
- kmens聚类实现图像分割，提取道路，结果不是很理想，希望和大家探讨-kmens clustering image segmentation, extracting road.The results are not very satisfactory, and we hope to explore
图像模糊聚类
- 图像模糊聚类，借用水平集的方法实现图像模糊聚类(Image fuzzy clustering)
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.)
image_segmentation
- 使用k-means聚类实现多光谱图像分割，并配有高维视图查看聚类结果(Clustering algorithm for multispectral image segmentation)