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文件名称:GraphCutSegmentationInTensorSpace
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- 上传时间：2012-10-15
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英国sussex大学图像研究所James Malcolm博士写的Graph cut分割，可对图像进行实时分割，解压到linux下后可直接编译运行-Graph cut segmentation in tensor space
Often intensity alone does not provide enough discriminating power for image segmentation. This work demonstrates extending the standard graph cut technique to more discriminative feature spaces. One such space is formed from the tensor products of feature vectors incorporating intensity, image derivatives, etc. Download Matlab wrapper for graph cut image segmentation (Win32,Mac,Linux32,Linux64)
Often intensity alone does not provide enough discriminating power for image segmentation. This work demonstrates extending the standard graph cut technique to more discriminative feature spaces. One such space is formed from the tensor products of feature vectors incorporating intensity, image derivatives, etc. Download Matlab wrapper for graph cut image segmentation (Win32,Mac,Linux32,Linux64)
(系统自动生成,下载前可以参看下载内容)
下载文件列表
Graph cut segmentation in tensor space/新建 文本文档.txt
Graph cut segmentation in tensor space/malcolm_tc.pdf
Graph cut segmentation in tensor space/malcolm_tc_slides.pdf
Graph cut segmentation in tensor space/graphchop.tar.gz
Graph cut segmentation in tensor space
Graph cut segmentation in tensor space/malcolm_tc.pdf
Graph cut segmentation in tensor space/malcolm_tc_slides.pdf
Graph cut segmentation in tensor space/graphchop.tar.gz
Graph cut segmentation in tensor space
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