搜索资源列表
KMEANS(matlab)
- Matlab环境下的k-means聚类算法，实现图像分割，很快阿！-K-means Clustering arithmetic based on Matlab platform.It s fast for Image-Division!
Grap_image_segment
- 这是一个用一种改进的谱聚类方法实现图像分割的车程序-with an improved spectral clustering method of image segmentation vehicle
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-Based on fuzzy c-means clustering for color image region segmentation method that first of all choose a suitable color space, and then use c-means clustering ap
kmeans1
- k-均值聚类算法实现灰度图像分割，输入图像矩阵和聚类中心个数，返回为最终的聚类中心和图像中每个像素所属类的编号（对应于图像矩阵）-k-means clustering algorithm to achieve gray-scale image segmentation, the input image matrix and the number of cluster centers, the return for the final i
KmeansImageSegmentation
- 基于Opencv实现的k-means聚类图像分割算法，可自定义聚类个数，根据像素点的位置和颜色进行聚类-Opencv based on the realization of the k-means clustering image segmentation algorithm, the number of clustering can be customized, according to pixel location and colo
matlab
- 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.
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.
matlab
- FCM实现，FCM中的可以用在模糊聚类的图像分割当中-FCM
Imagesbasedongeneticalgorithmresearchcut
- 在图像分割中，运用遗传聚类算法实现图像分割并讨论分割结果-In image segmentation, the use of genetic clustering algorithm to achieve image segmentation and discuss the results of Segmentation
fcm
- 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.
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- 居于模糊聚类的图像分割算法实现，用MATLAB实现。-image segemention base of fcm，using MATLAB
pdftoword_setup(1ad)
- 居于模糊聚类的图像分割算法实现，用MATLAB实现。-image segemention base of fcm，using MATLAB
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
FCMClust
- FCM聚类，实现图像分割，可以将图像分成多类-FCM
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
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
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
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)
Experiment Three
- matlab的聚类算法实现图像分割,效果很好(Image segmentation by clustering in matlab)
FCM实现图像分割
- 用FCM算法实现了图像分割，效果较好，可以更改聚类数目(FCM algorithm is used to realize image segmentation. The result is good, and the number of clusters can be changed)