Description: 图像前景分割 运用了新的算法和投票机制 该算法目前是最好的-Image foreground segmentation and the use of the new algorithm and the voting mechanism of the algorithm is best Platform: |
Size: 1600512 |
Author:刘晓寒 |
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Description: 本代码是Foreground-Background Segmentation of Video Sequences的配套程序，利用KDE算法对avi进行处理，从而提取前景和背景，在windows, Visual C++下测试成功-This code is Foreground-Background Segmentation of Video Sequences matching procedures, the use of KDE algorithm to deal with avi, thereby extracting the prospects and the background, in windows, Visual C++ Test successful Platform: |
Size: 53248 |
Author:辜嘉 |
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Description: 一个自适应阈值处理程序，是图像分割领域难题的一个处理方向，该方法效果还不错An adaptive thresholding algorithm that seperates the background with nonuniform illumination.
％foreground from the background with nonuniform illumination.-An adaptive threshold process, the field of image segmentation is a difficult problem to deal with the direction of the effect of the method was not bad An adaptive thresholding algorithm that seperates the background with nonuniform illumination. Foreground from the background with nonuniform illumination. Platform: |
Size: 147456 |
Author:yemaoqiu |
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Description: 大津法由大津于1979年提出，对图像Image，记t为前景与背景的分割阈值，前景点数占图像比例为w0， 平均灰度为u0；背景点数占图像比例为w1，平均灰度为u1-Otsu method by Otsu in 1979 suggested that the image Image, remember t for the foreground and background segmentation threshold, the prospect of accounting for the image ratio of points w0, the average gray level for u0 background image representing the ratio of points w1, the average gray level for u1 Platform: |
Size: 1024 |
Author:wangyi |
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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 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: |
Size: 1389568 |
Author:changfeng |
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Description: This code implements the well-known Chan-Vese segmentation algorithm from the paper "Active Contours Without Edges."
This technique deforms an initial curve so that it separates foreground from background based on the means of the two regions. The technique is very robust to initialization and gives very nice results when there is a difference between the foreground and background means.
This code uses active contours and level sets in the implementation. It could also serve as a good framework for implementing all kinds of region-based active contour energies.
1.) Download
2.) Unzip
3.) Run >>region_seg_demo
See this site for experiments, videos, and more information on segmentation, active contours, and level sets:
[ http://www.shawnlankton.com/2007/05/active-contours/ ] Platform: |
Size: 10240 |
Author:hiyisf |
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Description: 介绍一种应用于视频运动检测中前景和背景建模分割的方法-proposes a novel method for detection and segmentation
of foreground objects from a video which contains
both stationary and moving background objects and undergoes
both gradual and sudden “once-off” changes. Platform: |
Size: 227328 |
Author:arbi |
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Description: This package contains m-files for the segmentation of a moving foreground from video with a static background Platform: |
Size: 23552 |
Author:Adi Febri |
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Description: Adaptive foreground and shadow segmentation using hidden conditional random fields.rar-Adaptive foreground and shadow segmentation using hidden conditional random fields.rar Platform: |
Size: 245760 |
Author:朱笑愚 |
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Description: 两次利用大津法对图像进行分割，将前景与背景，白色区与背景分割开，并二值化。-Otsu method twice using image segmentation, the foreground and background, white background area and separate, and binary. Platform: |
Size: 2048 |
Author:budongwei |
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Description: 基于区域融合的半监督的图像分割算法。首先在背景和前景手动设置初始分割标记，在迭代过程中不断通过区域融合操作获得最大相似度的区域，从而实现目标分割。-Regional integration based on semi-supervised image segmentation. First of all, in the background and foreground segmentation manually set the initial marking, in the iteration process continued operation through regional integration greatest similarity region, to achieve object segmentation. Platform: |
Size: 840704 |
Author:史思琦 |
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Description: 原始snake matlab 源碼，簡單版- seg = localized_seg(I,init_mask,max_its,rad,alpha,method)
Inputs: I 2D image
init_mask Initialization (1 = foreground, 0 = bg)
max_its Number of iterations to run segmentation for
rad (optional) Localization Radius (in pixels)
smaller = more local, bigger = more global
alpha (optional) Weight of smoothing term
higer = smoother
method (optional) selects localized energy
1 = Chan-Vese Energy
2 = Yezzi Energy (usually works better) Platform: |
Size: 140288 |
Author:王節宣 |
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Description: 利用OPENCV來實現高斯混合模型的背景相減，可看到當前影像、前景及背景-OPENCV to achieve using GMM background subtraction, we can see the current image, foreground and background Platform: |
Size: 1024 |
Author:justin |
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Description: Tracking people in a dense crowd is a challenging problem
for a single camera tracker due to occlusions and extensive
motion that make human segmentation difficult. In this
paper we suggest a method for simultaneously tracking all
people in a dense crowd using a set of cameras with overlapping
fields of view. To overcome occlusions, the cameras
are placed at a high elevation and only people’s heads
are tracked. Head detection is still difficult since each foreground
region may consist of multiple subjects. By combining
data from several views, height information is extracted
and used for head segmentation. Platform: |
Size: 944128 |
Author:kaw |
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Description: 自己用opencv写的手势识别的软件。界面简单点，用动态前景分割肤色模型和直方图反演分割手部区域，然后用模式识别方法搞定识别问题。绝对原创，以后可能再也不搞这方面了，传上来跟大家分享-Own use opencv gesture recognition software to write. Interface simply, skin color model with dynamic foreground segmentation and histogram segmentation of hand inversion region, and then use pattern recognition methods get recognition. Absolutely original, since this may no longer engage in, and pass up sharing with you Platform: |
Size: 7002112 |
Author:yang |
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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: |
Size: 6918144 |
Author:张数 |
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Search - foreground segmentation