Description: 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-The most classic to do to ensure that other people do not realize uploaded article GrabCut Interactive Foreground Extraction using Iterated Graph Cuts with graphcut realize image segmentation, has very good results Platform: |
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Author:changfeng |
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Description: 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 cut approaches to segmentation can be extended to 3-D data and can be used for segmenting 3-D volumes.Other segmentation techniques use either contour or edge segmentation to perform segmentation. The graph cut techniques use both contour and edge information. The main matting techniques are Poisson matting and probabilistic alpha matting using colour statistics. Poisson matting works directly on the alpha matte of the image, and is interactive. The statisticalapproach uses Gaussians to model colour statistics in the image and is not interactive. Platform: |
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Author:巡洋舰 |
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Description: 基于FCM和图割的交互式图像分割方法，关于图割的应用-FCM and the graph cuts based interactive image segmentation method applied on the graph cuts Platform: |
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Author:周禹金 |
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Description: 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 虹膜识别程序是下载的一个通用的虹膜识别程序，可以运行
5 GML_AdaBoost_Matlab_Toolbox是一个很好用的adaboost matlab工具箱
6 libsvm-mat-2.91-1 是用C编写的改进的SVM程序，代码质量很高，提供了matlab接口
7 SIFT_Matlab 是编写的利用sift特征进行的宽基线匹配，代码质量高
8 FLDfisher 是利用fisher 线性降维方法进行人脸识别-1.GeometricContext file is complete the picture in the geometric direction of target classification. References " Automatic Photo Pop-up" Hoiem 2005 2 GrabCut the target file is an interactive segmentation of image reference " " GrabCut " - Interactive Foreground Extraction using Iterated Graph Cuts" C. Rother 2004 3 HOG documents prepared under their own HOG Characteristics of pedestrian detection matlab code 4 iris recognition process is to download a general iris recognition program, you can run 5 GML_AdaBoost_Matlab_Toolbox is a good use of adaboost matlab toolbox 6 libsvm-mat-2.91-1 is written in C to improve the SVM procedures, code of high quality, provides a matlab interface to 7 SIFT_Matlab is prepared for the use of sift features a wide baseline matching, the code is the use of high quality 8 FLDfisher fisher linear dimension reduction method for face recognition Platform: |
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Author:张数 |
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Description: 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 using Iterated Graph Cuts use graphcut map image segmentation, the effect is very good Platform: |
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Author:门槛 |
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Description: GrabCut 算法是一种高效的前景背景分割算法。传统分割算法应用纹理或边界信息中的一种进行分割, 而GrabCut 算法
综合利用了纹理及边界两种信息进行图像分割。GrabCut 算法是对Graph cuts 算法的改进, 具有分割精度高, 交互式操作少的优
点, 并将分割从灰度图像推广到了彩色图像领域, 是一种比较有前途的交互式分割算法。该算法用在静态图像编辑中的图片背景
更换, 取得了很好的效果。-The GrabCut algorithm is an efficient prospects background segmentation algorithm. A traditional segmentation algorithm applied texture or boundary information division, the comprehensive utilization of texture and boundary information GrabCut algorithm for image segmentation. The the GrabCut algorithm Graph cuts algorithm improvements, with high accuracy of segmentation and interactive operation, and split from the gray-scale image is extended to the field of color images, is a more promising interactive segmentation algorithm. The algorithm used in the static image editing image background replacement, has achieved very good results. Platform: |
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Author:diaoguangqiang |
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Description: 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 algorithm is based on the " " GrabCut " - Interactive Foreground Extraction using Iterated Graph Cuts" in this article to achieve. The algorithm uses the image texture (color) and the boundary information (contrast) information, as long as the amount of user interaction to obtain a better segmentation results. If the color contrast between foreground and background is not, split ineffective however, allow manual marking some of the foreground or background areas, this can get better results in this case. Platform: |
Size: 81920 |
Author:yangpeide |
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Description: 交互式图像分割，是根据Yuri Boykov and Marie-Pierre Jolly的文章，用C++和OpenCV实现的-Automatic image segmentation is a hard problem and, is not flexible enough to be used for general segmentation. The objective of this project is to implement an interactive image segmentation software based on Yuri Boykov and Marie-Pierre Jolly’s work on “Interactive Graph Cuts for Optimal Boundary & Region Segmentation of Objects in N-D Images” (ICCV 2001) Platform: |
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Author:xiaohai |
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Description: 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 diagrams and results in Fig. For details please refer to the document:GrabCut- Interactive Foreground Extraction using Iterated Graph Cuts Platform: |
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Author:Linda |
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Description: grab_cut,graph gut的进阶版，运用了lazy snapping-There are advanced segmentation algorithms in the literature which extends the concepts of graph cuts. Most prominent of them are Graph cuts and Lazy Snapping. Lazy napping is an interactive image cut out tool. Lazy Snapping separates coarse and fine scale processing, making object specification and detailed adjustment easy. Platform: |
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Author:皮梦婷 |
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