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Description: 一个质量比较高的源码，在编译时需要OpenCV 和 OpenGL。-A relatively high quality source code, compile-time need in OpenCV and OpenGL.
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Size: 1512448 |
Author: 张勋 |
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Description: GrabCut抠图静态自动抠图实现，基于VS2008和OPENCV-GrabCut Matting static automatic matting to achieve, based on VS2008 and OPENCV
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Size: 2048 |
Author: sfdghs |
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Description: 基于opencv的图像分割算法，改进了graph cut算法-image segmentation algorithm based on Opencv， improved from graph cut algorithm
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Size: 3877888 |
Author: 天使 |
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Description: opencv中的GrabCut，把里面的例子简化了，并对GrabCut部分进行注释-opencv in GrabCut, simplified example of the inside, and some of the comments GrabCut
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Size: 5112832 |
Author: zhazhiqiang |
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Description: opencv抠图算法。c语言实现。需要较少的用户输入就能实现很好的分割效果。-opencv matting algorithm
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Size: 2048 |
Author: 熊改 |
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Description: 使用OpenCV的Grabcut实现图像分割-Use Grabcut in OpenCV for image segmentation
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Size: 1295360 |
Author: jeff |
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Description: 修改OPENCV中得SAMPLE的GRABCUT代码实现图像分割实现图像分割-Modify the SAMPLE OPENCV was GRABCUT code to achieve the segmentation of image segmentation
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Size: 73728 |
Author: EARNER |
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Description: 用opencv实现的图像分割算法 非常好用-With opencv image segmentation algorithm is very easy to use
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Size: 1466368 |
Author: Ouyang |
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Description: grabcut算法实现图像分割,基于2004年发表的grabcut算法实现。-grabcut
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Size: 12175360 |
Author: 天气晴 |
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Description: opencv实现grabcut抠图功能，能将一定区域内的物体分离出来，未加模糊处理,the opencv realization grabcut matting function
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Size: 5120 |
Author: 周丽 |
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Description: opencv中使用grabcut的代码,实现的效果非常好。-the opencv used grabcut the code
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Size: 3072 |
Author: q dd |
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Description: 实施GRABCUT源代码
由贾斯汀塔尔博特jtalbot@stanford.edu 。
放置在公共领域， 2010年
代码最后更新：2006年
弗拉基米尔·洛夫（ vnk@cs.cornell.edu ） ， 2001年使用GRAPHCUT实施。
要求： OpenGL的， GLUT和OpenCV的库来编译和运行。
用法： grabcut.exe <ppm文件名
使用鼠标拖动矩形围绕前景部分显示的图像。
然后使用下面的按键
1 ：显示图像
2 ：显示GMM组件分配。红色的色调是前景元件 绿色背景组件。
3 ：显示N-链接的权重。白色是一个大型的平均N -链接周围的像素重量，黑色是较低的平均N-链路重量。
4 ：显示T -链接的权重。红色部分是前景T-链路重量，绿色分量为背景的T链接权重。
“” （空格键） ：显示/隐藏计算alpha遮罩。
O ：运行一步GRABCUT细化算法
R ：运行GRABCUT细化算法收敛。
L ：再次运行果园布曼聚类算法。 （在初始化过程中自动运行）。
逃生：停止细化算法（后按 R ）
Q 退出。
-GrabCut implementation source code
by Justin Talbot, jtalbot@stanford.edu
Placed in the Public Domain, 2010
Code last updated, 2006
Uses Graphcut implementation by Vladimir Kolmogorov (vnk@cs.cornell.edu), 2001.
Requires: OpenGL, GLUT, and OpenCV libraries to compile and run.
Usage: grabcut.exe <ppm filename>
Use mouse to drag a rectangle around the foreground portion of the displayed image.
Then use the following keys
1 : Show image
2 : Show GMM component assignment. Red shades are foreground components green are background components.
3 : Show N-link weights. White is a large average N-link weight around a pixel, black is a low average N-link weight.
4 : Show T-link weights. Red component is foreground T-link weight, green component is background T-link weight.
(space bar): Show/hide the computed alpha mask.
o : Run one step of the GrabCut refinement algorithm
r : Run the GrabCut refinement algorithm to convergence.
l : Run the Orchard-
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Size: 35840 |
Author: liu |
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Description: GrabCut实现源代码
贾斯廷·塔尔博特,jtalbot@stanford.edu
放置在公共领域,2010
代码最后更新,2006
使用Graphcut实现弗拉基米尔• 柯尔莫哥洛夫(vnk@cs.cornell.edu),2001。
要求:OpenGL,供过于求,OpenCV库来编译和运行。
用法:grabcut。 exe < ppm文件名>
使用鼠标拖动矩形在前台部分的显示图像。
然后使用以下键
1 :显示图像
“2”:显示组件分配高斯混合模型(GMM)。红色的墨镜是前台组件 绿色是背景组件。
“3”:显示n链接权重。白色是一个大型的平均重量约一个像素n链接,黑色是一个较低的平均n链接权重。
4 :显示t链接权重。红色的组件是前台t链接重量、绿色组件是背景t链接权重。
“(空格键):显示/隐藏计算α面具。
“o”:跑的一个步骤GrabCut细化算法
“r”:运行GrabCut细化算法收敛。
“l”:运行Orchard-Bouman再次聚类算法。 (这是在初始化时自动运行)。
逃脱:停止细化算法(压后“r”)-GrabCut implementation source code
by Justin Talbot, jtalbot@stanford.edu
Placed in the Public Domain, 2010
Code last updated, 2006
Uses Graphcut implementation by Vladimir Kolmogorov (vnk@cs.cornell.edu), 2001.
Requires: OpenGL, GLUT, and OpenCV libraries to compile and run.
Usage: grabcut.exe <ppm filename>
Use mouse to drag a rectangle around the foreground portion of the displayed image.
Then use the following keys
1 : Show image
2 : Show GMM component assignment. Red shades are foreground components green are background components.
3 : Show N-link weights. White is a large average N-link weight around a pixel, black is a low average N-link weight.
4 : Show T-link weights. Red component is foreground T-link weight, green component is background T-link weight.
(space bar): Show/hide the computed alpha mask.
o : Run one step of the GrabCut refinement algorithm
r : Run the GrabCut refinement algorithm to convergence.
l : Run the Orchard-
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Size: 36864 |
Author: 王明 |
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Description: c++ opencv GrabCut image matting
图像分割 抠图-c++ opencv GrabCut image matting
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Size: 7168 |
Author: tl |
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Description: opencv grabcut 程序详细讲解-opencv grabcut procedure explained in detail
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Size: 14336 |
Author: 徐健 |
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Description: grabcut实现代码。运用opencv实现，对图像分割具有很好的效果。-grabcut implementation code. Use opencv achieve image segmentation has a good effect.
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Size: 814080 |
Author: 金俊波 |
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Description: opencv下图像分割程序，下载完可直接运行，运行效果良好-Opencv image segmentation procedures, download can be run directly, the effect is good
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Size: 9527296 |
Author: 林凯 |
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Description: opencv-python，交互式grabcut实现图像前景的提取，好用，效果好。-Opencv-python, interactive grabcut image foreground extraction, easy to use, can get good results.
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Size: 3072 |
Author: 大华蔡 |
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Description: GrabCut的OpenCV代码及其原理，代码在文档当中-An introduction to GrabCut in OpenCV with its source code
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Size: 412672 |
Author: 王德晨 |
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Description: java使用GrabCut的示例，没有搭配opencv环境的伪代码(An example of Java using GrabCut)
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Size: 92160 |
Author: 452123198510084657
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