Research on 3D crack segmentation of CT images of oil rock core.

In this paper, we propose a framework for CT image segmentation of oil rock core. According to the characteristics of CT image of oil rock core, the existing level set segmentation algorithm is improved. Firstly, an algorithm of Chan-Vese (C-V) model is carried out to segment rock core from image ba...

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Autores principales:	Yongning Zou, Gongjie Yao, Jue Wang
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/dd1eaa3a4f454f1799a7ad873d645b37
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spelling	oai:doaj.org-article:dd1eaa3a4f454f1799a7ad873d645b372021-12-02T20:19:14ZResearch on 3D crack segmentation of CT images of oil rock core.1932-620310.1371/journal.pone.0258463https://doaj.org/article/dd1eaa3a4f454f1799a7ad873d645b372021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0258463https://doaj.org/toc/1932-6203In this paper, we propose a framework for CT image segmentation of oil rock core. According to the characteristics of CT image of oil rock core, the existing level set segmentation algorithm is improved. Firstly, an algorithm of Chan-Vese (C-V) model is carried out to segment rock core from image background. Secondly the gray level of image background region is replaced by the average gray level of rock core, so that image background does not affect the binary segmentation. Next, median filtering processing is carried out. Finally, an algorithm of local binary fitting (LBF) model is executed to obtain the crack region. The proposed algorithm has been applied to oil rock core CT images with promising results.Yongning ZouGongjie YaoJue WangPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 10, p e0258463 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Yongning Zou Gongjie Yao Jue Wang Research on 3D crack segmentation of CT images of oil rock core.
description	In this paper, we propose a framework for CT image segmentation of oil rock core. According to the characteristics of CT image of oil rock core, the existing level set segmentation algorithm is improved. Firstly, an algorithm of Chan-Vese (C-V) model is carried out to segment rock core from image background. Secondly the gray level of image background region is replaced by the average gray level of rock core, so that image background does not affect the binary segmentation. Next, median filtering processing is carried out. Finally, an algorithm of local binary fitting (LBF) model is executed to obtain the crack region. The proposed algorithm has been applied to oil rock core CT images with promising results.
format	article
author	Yongning Zou Gongjie Yao Jue Wang
author_facet	Yongning Zou Gongjie Yao Jue Wang
author_sort	Yongning Zou
title	Research on 3D crack segmentation of CT images of oil rock core.
title_short	Research on 3D crack segmentation of CT images of oil rock core.
title_full	Research on 3D crack segmentation of CT images of oil rock core.
title_fullStr	Research on 3D crack segmentation of CT images of oil rock core.
title_full_unstemmed	Research on 3D crack segmentation of CT images of oil rock core.
title_sort	research on 3d crack segmentation of ct images of oil rock core.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/dd1eaa3a4f454f1799a7ad873d645b37
work_keys_str_mv	AT yongningzou researchon3dcracksegmentationofctimagesofoilrockcore AT gongjieyao researchon3dcracksegmentationofctimagesofoilrockcore AT juewang researchon3dcracksegmentationofctimagesofoilrockcore
_version_	1718374255917268992

Research on 3D crack segmentation of CT images of oil rock core.

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