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最经典之做,保证别人没有上传过
实现文章
“GrabCut\" Interactive Foreground Extraction using Iterated Graph Cuts
用graphcut实现图像分割,效果非常好
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与grabcut算法配套的论文,详述了对graphcut算法改进的地方,及其优点,-Matching algorithm with grabcut paper detailing the algorithm graphcut improved, and its advantages,
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1.GeometricContext文件是完成图片中几何方向目标分类。
参考文献《Automatic Photo Pop-up》Hoiem 2005
2 GrabCut文件是完成图像中目标交互式分割
参考文献《“GrabCut” — Interactive Foreground Extraction using Iterated Graph Cuts》
C. Rother 2004
3 HOG文件是自己编写的根据HOG特征检测行人的matlab代码
4 虹膜识别程序
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The software for our localized graph cut algorithm is available:
B. Peng, L. Zhang, D. Zhang and J. Yang, “Image Segmentation by Iterated Region Merging with Localized Graph Cuts”, to appear in Pattern Recognition
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最经典之做,保证别人没有上传过实现文章“GrabCut" Interactive Foreground Exttraction using Iterated Graph Cuts用graphcut实现图图像分割,效果非常好
-The most classic to do, to ensure that others have not uploaded the article " GrabCut" Interactive Foreground Exttraction usin
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GRABCUTOpenCV中的GrabCut算法是依据《"GrabCut" - Interactive Foreground Extraction using Iterated Graph Cuts》这篇文章来实现的。该算法利用了图像中的纹理(颜色)信息和边界(反差)信息,只要少量的用户交互操作即可得到比较好的分割结果。如果前景和背景之间的颜色反差不大,分割的效果不好;不过,这种情况下允许手工标记一些前景或背景区域,这样能得到较好的结果。-GRABCUTOpenCV in GrabCut alg
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用grabcut算法对图像进行分割,程序支持mask和矩形框两种输入,并附有样图和结果图。详细原理请参考文献: GrabCut - Interactive Foreground Extraction using Iterated Graph Cuts-Grabcut algorithm is for image segmentation. the program supports two input mask and a rectangular box, along with sample di
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通过区域迭代合并与定位切图的图像分割算法,非常好的。-Image Segmentation by Iterated Region Merging with Localized Graph Cuts
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