文件名称:Kmeans.Cluster.using.Guide
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- 上传时间:2008-10-13
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图像集群(Image Clustering)
(1)图像读入,显示图像所在路径;
(2)采用imgcluster函数进行图像集群,选择集群个数后进行图像集群;
(3)运行后,在原图像上显示集群灰度图;
(4)若要显示各个集群情况,可打开【Show Clustering Image】新窗体,显示各集群类的基于原图的彩绘区域。其中非当前集群范围,则显示灰度为255的黑色。用户可点击按纽上下查看所有集群图。-image cluster (Image Clustering) (1) read into the images, Images show host path; (2) use of imgcluster function for image clusters, After the number of clusters chosen for image clusters; (3) After the operation, in the original image displayed on the gray level clusters; (4) To show that the various clusters, [Show Open Clustering Image -- new windows, showed that the cluster type based on the maximum of regional painting. Clusters of non-current range, it shows that the intensity of 255 black. Users can click on View All button next cluster map.
(1)图像读入,显示图像所在路径;
(2)采用imgcluster函数进行图像集群,选择集群个数后进行图像集群;
(3)运行后,在原图像上显示集群灰度图;
(4)若要显示各个集群情况,可打开【Show Clustering Image】新窗体,显示各集群类的基于原图的彩绘区域。其中非当前集群范围,则显示灰度为255的黑色。用户可点击按纽上下查看所有集群图。-image cluster (Image Clustering) (1) read into the images, Images show host path; (2) use of imgcluster function for image clusters, After the number of clusters chosen for image clusters; (3) After the operation, in the original image displayed on the gray level clusters; (4) To show that the various clusters, [Show Open Clustering Image -- new windows, showed that the cluster type based on the maximum of regional painting. Clusters of non-current range, it shows that the intensity of 255 black. Users can click on View All button next cluster map.
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下载文件列表
showimg.m
garden.jpg
imgcluster.m
main.fig
main.m
showimg.fig
j1.jpg
www.dssz.com.txt
garden.jpg
imgcluster.m
main.fig
main.m
showimg.fig
j1.jpg
www.dssz.com.txt
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