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Description: 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.
Platform: |
Size: 114137 |
Author: mecal |
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Description: 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.
Platform: |
Size: 113664 |
Author: mecal |
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Description: opencv的基础代码实现 可以实现边缘检测和图像的其他识别-the basis of opencv code can achieve edge detection and image of the other identification
Platform: |
Size: 1024 |
Author: wanlixin |
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Description: Open Surf part 5 using C-Open Surf part 5 using C++
Platform: |
Size: 1024 |
Author: Wael Tahoun |
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Description: 实现了聚类功能，是开源的开发平台。提供了kmeans等多种类聚。-Achieve a clustering feature is the open source development platform. Provides kmeans and other types of polyethylene.
Platform: |
Size: 25600 |
Author: liu |
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Description: 开源搜索Carrot2中的kmeans聚类算法（作为性能对比用），由波兰学者Osinski撰写。-The open source search Carrot2 kmeans clustering algorithm (used as a performance comparison), written by the Polish scholar Osinski.
Platform: |
Size: 6144 |
Author: 李寻进 |
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