An Improved C-V Model and Application to the Coal Rock Mesocrack Images

In order to accurately and comprehensively obtain information about coal rock mesocrack images, image processing technique based on partial differential equation (PDE) is introduced in order to expound on the active contour model without edges and overcome the deficiency of the C-V model. The improv...

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Main Authors: Yulong Chen, Hongwei Zhang
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Geofluids
Online Access:http://dx.doi.org/10.1155/2020/8852209
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author Yulong Chen
Hongwei Zhang
author_facet Yulong Chen
Hongwei Zhang
author_sort Yulong Chen
collection DOAJ
description In order to accurately and comprehensively obtain information about coal rock mesocrack images, image processing technique based on partial differential equation (PDE) is introduced in order to expound on the active contour model without edges and overcome the deficiency of the C-V model. The improved C-V model is adopted in order to process mesoimages of coal rocks containing single and multiple cracks and obtain high-quality binary images of coal rock mesocracks and the effective characteristic parameters of coal rock mesostructures through quantitative processing, which will lay solid foundations for the follow-up research into coal rock seepage computation and damage calculation. Studies have shown that, compared to the original C-V model, the improved model achieves better image segmentation effects and more accurate quantitative information about coal rock mesostructures for coal rock mesoimages with low contrast ratios and nonuniform grayscale, a fact showing that it can be applied to the calculation of coal rock permeability and damage factors.
format Article
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institution Kabale University
issn 1468-8115
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language English
publishDate 2020-01-01
publisher Wiley
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series Geofluids
spelling doaj-art-27636bd4715e4baf88b3406c1d7941232025-02-03T01:04:28ZengWileyGeofluids1468-81151468-81232020-01-01202010.1155/2020/88522098852209An Improved C-V Model and Application to the Coal Rock Mesocrack ImagesYulong Chen0Hongwei Zhang1School of Energy and Mining Engineering, China University of Mining and Technology, Beijing, ChinaSchool of Energy and Mining Engineering, China University of Mining and Technology, Beijing, ChinaIn order to accurately and comprehensively obtain information about coal rock mesocrack images, image processing technique based on partial differential equation (PDE) is introduced in order to expound on the active contour model without edges and overcome the deficiency of the C-V model. The improved C-V model is adopted in order to process mesoimages of coal rocks containing single and multiple cracks and obtain high-quality binary images of coal rock mesocracks and the effective characteristic parameters of coal rock mesostructures through quantitative processing, which will lay solid foundations for the follow-up research into coal rock seepage computation and damage calculation. Studies have shown that, compared to the original C-V model, the improved model achieves better image segmentation effects and more accurate quantitative information about coal rock mesostructures for coal rock mesoimages with low contrast ratios and nonuniform grayscale, a fact showing that it can be applied to the calculation of coal rock permeability and damage factors.http://dx.doi.org/10.1155/2020/8852209
spellingShingle Yulong Chen
Hongwei Zhang
An Improved C-V Model and Application to the Coal Rock Mesocrack Images
Geofluids
title An Improved C-V Model and Application to the Coal Rock Mesocrack Images
title_full An Improved C-V Model and Application to the Coal Rock Mesocrack Images
title_fullStr An Improved C-V Model and Application to the Coal Rock Mesocrack Images
title_full_unstemmed An Improved C-V Model and Application to the Coal Rock Mesocrack Images
title_short An Improved C-V Model and Application to the Coal Rock Mesocrack Images
title_sort improved c v model and application to the coal rock mesocrack images
url http://dx.doi.org/10.1155/2020/8852209
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AT hongweizhang animprovedcvmodelandapplicationtothecoalrockmesocrackimages
AT yulongchen improvedcvmodelandapplicationtothecoalrockmesocrackimages
AT hongweizhang improvedcvmodelandapplicationtothecoalrockmesocrackimages