GitHub - guiyan2018/Fast-and-Robust-Image-Segmentation: a novel interactive image segmentation method based on both bilateral grid and confidence-based color model

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a novel interactive image segmentation method based on both bilateral grid and confidence-based color model

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
example		example
src		src
imgSegmentation.pro		imgSegmentation.pro
imgSegmentation.pro.user		imgSegmentation.pro.user
readme.txt		readme.txt
release.rar		release.rar

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Fast and Robust Image Cutout Using Bilateral Grid and Confidence Based Color Model
README (03/10/2018)
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This executable code is a simplified implementation of interactive image segmentation method described in the following paper: 
Gui Yan, Zeng Guang, Tang Wen: "Fast and Robust Image Cutout Using Bilateral Grid and Confidence Based Color Model", 
Journal of Computer-Aided Design & Computer Graphics, Vol.30, No.7, pp.1284-1296, July 2018. (in Chinese)


The code is written in VC 2015+QT, and the following packages are used:
-opencv 3.4

How to use: 
Extract the release.rar file and run imgSegmentation.exe

You can use this code for scientific purposes only. 
Use in commercial projects and redistribution are not allowed without author's permission. 
Please cite our paper when using this code. 

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Personal Contact Information

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Email:
	guiyan@csust.edu.cn		(Yan Gui)