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The Swendsen-Wang Cuts algorithm is used to label atomic regions (superpixels) based on their intensity patterns using generative models in a Bayesian framework. The prior is based on areas of connected components, which provides a clean segmentation
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This paper provides an algorithm for partitioning grayscale images into disjoint regions of coherent
brightness and texture. Natural images contain both textured and untextured regions, so the cues of contour and
texture differences are exploited
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This literature review attempts to provide a brief overview of some of the most common segmentation techniques, and a comparison between them. It discusses the “Grab-Cut” technique, and reviews some some of the common matting techniques. The graph cu
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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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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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使用QT4開發的影像切割應用程式
基於Graph cuts來運算
可執行在Linux、XP、MAC上,並有多種模式(GMD, NN, ANN) -A GUI and batch capable software for easy and versatile image segmentation. Graph cuts are used for segmentation with several models (GMD, NN, ANN) available.
The appli
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nteractive Segmentation using Graph Cuts
CS 578 Medical Image Analysis Final Project Report
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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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