搜索资源列表
leipingjun
- Matlab,利用类平均聚类方法识别各种图像(主要是遥感图像)中不同地物的GUI程序,距离的计算可以选择三个不同的函数,包裹中包含一个主程序,一个fig文件和三个距离函数。-This GUI project can divide deferent ground objects with the method of group-average cluster.
seed
- 一种图像分割算法—像素聚类区域成长法 此法从一个种子像素开始,通过如平均灰度、组织纹理及色彩等性质的判断,将具类似性质的像素纳入所考虑区域。-An image segmentation algorithm- clustering pixels regional growth law this method started from a seed pixel, through, such as average gray, organizations such as texture and co
PatternRecongnition
- 图像模式识别聚类分析、模糊聚类、遗传算法聚类-Cluster analysis of image pattern recognition, fuzzy clustering, genetic algorithm clustering
FuzzyClusteringToolbox
- 四种聚类算法源代码及示例代码,本程序的最终目的是形成一套标准的用于聚类、可扩展的工具。包括的内容有1. 聚类算法:Kmeans和Kmedoid算法、FCMclust, GKclust, GGclust算法 2. 评估分类原型:程序可以在二维图像上绘制出聚类的结果 3. 验证:程序给每一个算法提供验证机制,每个聚类算法会统计Partition Coefficient (PC), Classification Entropy (CE), Partition Index (SC), Separatio
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- 图像分割 模糊聚类分割算法 通过MATLAB实现的C聚类分割算法,输入分割类别数。可以得到分割后的图像对比-Image segmentation algorithm based on fuzzy clustering partition
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.
KFCMClust529
- 标准的模糊C聚类算法程序,做聚类图像处理的非常有用-the corresponding algorithms are called kernel fuzzy c-means (KFCM) and kernel possibilistic c-means (KPCM) algorithms. And some test results are given to illustrate the advantages of the proposed algorithms over
loc_im_MSfilter
- 基于Mean Shift的图像分割过程就是首先利用Mean Shift算法对图像中的像素进行聚类,即把收敛到同一点的起始点归为一类,然后把这一类的标号赋给这些起始点,同时把包含像素点太少的类去掉。然后,采用阈值化分割的方法对图像进行二值化处理。-Mean Shift Based on the process of image segmentation is the first to use the image Mean Shift algorithm for clustering of pixe
kmean2
- 本程序用k-均值聚类的方法实现图像二值化-This procedure using k means to achieve image binarization
1
- 论述了医学图像挖掘在计算机辅助诊断中的作用,提出了采用灰度级作为 CT 图像特征的思想、灰度级的提取和存储方法,介绍 了采用决策树分类算法和基于密度的聚类算法对胸部和头部 CT 图像进行分类和聚类的结果及其分析,给出了分析的结论和进一步的研究方向。-Image mining Computer-aided diagnoses Luminance grade Classification Clustering
matlab_mohujulei
- matlab模糊聚类算法进行图像分割的源程序-tuxiangfenge
C_FCM
- 用C均值聚类方法实现图像分割,matlab实现,包含实验报告-C means clustering method used to achieve image segmentation, matlab implementation, including test reports
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
Kmeans
- 使用K均值做聚类分析来进行图像分割,把原始图像转换到HSV空间做聚类分析-use k-means clustering to segment the image
Kmeans-MATLAB
- 该代码能够实现K均值聚类算法对彩色图像分割,在MATLAB下实现。-The code can achieve K means clustering algorithm to color image segmentation, in MATLAB to achieve.
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
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
ZPclustering
- 实现点的聚类,并用做图像分割,来源是文章:Self-Tuning Spectral Clustering (作者: Lihi Zelnik-Manor, Pietro Perona )(point clustering and image segmentation, algorithm is from paper:Self-Tuning Spectral Clustering(author: Lihi Zelnik-Manor, Pietro Perona ))
image
- 进行图像像素的聚类分析,采用k-mean聚类分析,速度比MATLAB快5倍之多。(Cluster analysis of image pixels, using K-mean clustering analysis, the speed is faster than MATLAB 5 times more.)