Stereo Image Segmentation Based on Graph Cut and Visual Correlation

Stereo image segmentation is a crucial and difficult issue in the field of object-based stereo image processing.By improving the Grabcut algorithm and exploiting the inter-view correlations,a novel stereo image segmentation scheme was proposed.The original left image was firstly transformed into a s...

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Main Authors: Qingyan Dai, Zhongjie Zhu
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2015-11-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015226/
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author Qingyan Dai
Zhongjie Zhu
author_facet Qingyan Dai
Zhongjie Zhu
author_sort Qingyan Dai
collection DOAJ
description Stereo image segmentation is a crucial and difficult issue in the field of object-based stereo image processing.By improving the Grabcut algorithm and exploiting the inter-view correlations,a novel stereo image segmentation scheme was proposed.The original left image was firstly transformed into a super-pixel image by improving the Slic algorithm.Then the super-pixel image was segmented and the foreground object in the left image is extracted based on the framework of Grabcut,where the energy function was rebuilt.Finally,by exploiting the inter-view correlations between the left and the right images,the foreground object in the right image was obtained based on contour correspondence by fusing color and texture features.The experimental results show that the proposed algorithm is more efficient and can achieve better segmentation results than the existing methods.
format Article
id doaj-art-cd3c3889da5044d6a7c18a5b828b4ac7
institution Kabale University
issn 1000-0801
language zho
publishDate 2015-11-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-cd3c3889da5044d6a7c18a5b828b4ac72025-01-15T03:16:23ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012015-11-0131778459612956Stereo Image Segmentation Based on Graph Cut and Visual CorrelationQingyan DaiZhongjie ZhuStereo image segmentation is a crucial and difficult issue in the field of object-based stereo image processing.By improving the Grabcut algorithm and exploiting the inter-view correlations,a novel stereo image segmentation scheme was proposed.The original left image was firstly transformed into a super-pixel image by improving the Slic algorithm.Then the super-pixel image was segmented and the foreground object in the left image is extracted based on the framework of Grabcut,where the energy function was rebuilt.Finally,by exploiting the inter-view correlations between the left and the right images,the foreground object in the right image was obtained based on contour correspondence by fusing color and texture features.The experimental results show that the proposed algorithm is more efficient and can achieve better segmentation results than the existing methods.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015226/stereo image segmentationimproved Grabcut algorithminter-view correlationcontour correspondence
spellingShingle Qingyan Dai
Zhongjie Zhu
Stereo Image Segmentation Based on Graph Cut and Visual Correlation
Dianxin kexue
stereo image segmentation
improved Grabcut algorithm
inter-view correlation
contour correspondence
title Stereo Image Segmentation Based on Graph Cut and Visual Correlation
title_full Stereo Image Segmentation Based on Graph Cut and Visual Correlation
title_fullStr Stereo Image Segmentation Based on Graph Cut and Visual Correlation
title_full_unstemmed Stereo Image Segmentation Based on Graph Cut and Visual Correlation
title_short Stereo Image Segmentation Based on Graph Cut and Visual Correlation
title_sort stereo image segmentation based on graph cut and visual correlation
topic stereo image segmentation
improved Grabcut algorithm
inter-view correlation
contour correspondence
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015226/
work_keys_str_mv AT qingyandai stereoimagesegmentationbasedongraphcutandvisualcorrelation
AT zhongjiezhu stereoimagesegmentationbasedongraphcutandvisualcorrelation