OneCutWithSeeds
所属分类：OpenCV
开发工具：C++
文件大小：1906KB
下载次数：25
上传日期：2017-05-12 10:27:24
上 传 者：
slxxsuny
说明： Grabcut的优化版本One Cut在OpenCV中的实现，处理较大图像时十分高效
(OneCut in OpenCV,efficient when segmenting large images)
文件列表:
OneCutWithSeeds_v1.03\block.h (7220, 2013-02-01)
OneCutWithSeeds_v1.03\frida_small.jpg (129945, 2013-02-01)
OneCutWithSeeds_v1.03\frida_small_bg.png (2481, 2015-07-15)
OneCutWithSeeds_v1.03\frida_small_fg.png (2427, 2015-07-15)
OneCutWithSeeds_v1.03\graph.cpp (2916, 2013-02-01)
OneCutWithSeeds_v1.03\graph.h (17233, 2013-02-01)
OneCutWithSeeds_v1.03\instances.inc (394, 2013-02-01)
OneCutWithSeeds_v1.03\maxflow.cpp (14887, 2013-02-01)
OneCutWithSeeds_v1.03\msvcp110.dll (661448, 2014-03-19)
OneCutWithSeeds_v1.03\msvcr110.dll (849360, 2014-03-19)
OneCutWithSeeds_v1.03\OneCut.exe (46080, 2015-09-21)
OneCutWithSeeds_v1.03\OneCut.vcxproj (9555, 2015-06-30)
OneCutWithSeeds_v1.03\OneCut_Main.cpp (27260, 2015-09-09)
OneCutWithSeeds_v1.03\opencv_core243.dll (2434048, 2012-11-02)
OneCutWithSeeds_v1.03\opencv_highgui243.dll (2357760, 2012-11-02)
OneCutWithSeeds_v1.03 (0, 2017-04-28)
//##################################################################
//
//Copyright (c) 2014, Lena Gorelick
//All rights reserved.
//
//Redistribution and use in source and binary forms, with or without
//modification, are permitted provided that the following conditions are met:
// * Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
// * Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
// * Neither the name of the University of Western Ontarior nor the
// names of its contributors may be used to endorse or promote products
// derived from this software without specific prior written permission.
//
//THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
//ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
//WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
//DISCLAIMED. IN NO EVENT SHALL BE LIABLE FOR ANY
//DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
//(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
//LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
//ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
//(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
//SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
//
//
//THIS SOFTWARE IMPLEMENTS THE OneCut ALGORITHM THAT USES SCRIBBLES AS HARD CONSTRAINTS.
//PLEASE USE THE FOLLOWING CITATION:
//
//@inproceedings{iccv2013onecut,
// title = {Grabcut in One Cut},
// author = {Tang, Meng and Gorelick, Lena and Veksler, Olga and Boykov, Yuri},
// booktitle={International Conference on Computer Vision},
// month = {December},
// year = {2013}}
//
//THIS SOFTWARE USES maxflow/min-cut CODE THAT WAS IMPLEMENTED BY VLADIMIR KOLMOGOROV,
//THAT CAN BE DOWNLOADED FROM http://vision.csd.uwo.ca/code/.
//PLEASE USE THE FOLLOWING CITATION:
//
//@ARTICLE{Boykov01anexperimental,
// author = {Yuri Boykov and Vladimir Kolmogorov},
// title = {An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision},
// journal = {IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE},
// year = {2001},
// volume = {26},
// pages = {359--374}}
//
//
//
//THIS SOFTWARE USES OpenCV 2.4.3 THAT CAN BE DOWNLOADED FROM http://opencv.org
//
//
//
//
//
//
//
//
//
//##################################################################
//
// USAGE INSTRUCTIONS
//
// In the command line type:
//
// OneCut [ ]
//
// Default values: numBinsPerChannel=16 colorSep_slope= 0.5
//
// Example: OneCut frida_small.jpg *** 0.1
// or OneCut frida_small.jpg
//
//
// Once the image is opened you can scribble with left and right
// mouse buttons on the object and the background in the
// "Scribble Image" window. Once the scribbles are given you can
// segment the image.You can keep repeatedly adding scribbles and
// segmenting until the result is satisfactory.
//
// Use the following Short Keys:
// 'q' - quit
// 's' - segment
// 'r' - reset (removes all strokes and clears all results)
// 'k' - keep the scribbles and the segmentation
// 'l' - load the scribbles
// '+' - increase brush stroke radius
// '-' - decrease brush stroke radius
// 'right mouse button drag' - draw blue scribble
// 'left mouse button drag' - draw red scribble
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