Research on coal-bed image fractures identification based on fracture shape characteristics
In view of problems that existing coal-bed image fractures identification method does not take good account of shape characteristics of the fractures or overall information of the fractures is not well obtained, by analyzing coal-bed image and shape characteristics of the fractures in binary image u...
| Главные авторы: | , |
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| Формат: | Статья |
| Язык: | zho |
| Опубликовано: |
Editorial Department of Industry and Mine Automation
2017-10-01
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| Серии: | Gong-kuang zidonghua |
| Предметы: | |
| Online-ссылка: | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2017.10.012 |
| _version_ | 1827988401050091520 |
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| author | LIU Yong CUI Hongqing |
| author_facet | LIU Yong CUI Hongqing |
| author_sort | LIU Yong |
| collection | DOAJ |
| description | In view of problems that existing coal-bed image fractures identification method does not take good account of shape characteristics of the fractures or overall information of the fractures is not well obtained, by analyzing coal-bed image and shape characteristics of the fractures in binary image under different gray thresholds, determination coefficient of the coal-bed fractures was defined, and regio's length, width and the ratio of length to width in the coal-bed binary image were defined as shape parameters. At the same time, a method of the coal-bed image fractures identification based on fracture shape characteristics was proposed. Under condition of the given shape parameters, travel a given gray scale threshold range and identify fracture regions in every coal-bed binary image, then merge all the identified fracture regions as the last coal-bed fractures identification result. Finally, an example was given to demonstrate effectiveness of the method. It is concluded that information of the coal-bed image fractures can be acquired to the maximum extent by traveling a certain gray scale threshold range and identify the coal-bed image fractures, and it can effectively improve accuracy of the coal-bed fracture identification by selecting reasonable thresholds of the shape parameters of the fracture determining coefficient. |
| first_indexed | 2024-04-10T00:03:04Z |
| format | Article |
| id | doaj.art-22a20e17cb6e40a2b835d9c1623a678a |
| institution | Directory Open Access Journal |
| issn | 1671-251X |
| language | zho |
| last_indexed | 2024-04-10T00:03:04Z |
| publishDate | 2017-10-01 |
| publisher | Editorial Department of Industry and Mine Automation |
| record_format | Article |
| series | Gong-kuang zidonghua |
| spelling | doaj.art-22a20e17cb6e40a2b835d9c1623a678a2023-03-17T01:41:24ZzhoEditorial Department of Industry and Mine AutomationGong-kuang zidonghua1671-251X2017-10-014310596410.13272/j.issn.1671-251x.2017.10.012Research on coal-bed image fractures identification based on fracture shape characteristicsLIU YongCUI HongqingIn view of problems that existing coal-bed image fractures identification method does not take good account of shape characteristics of the fractures or overall information of the fractures is not well obtained, by analyzing coal-bed image and shape characteristics of the fractures in binary image under different gray thresholds, determination coefficient of the coal-bed fractures was defined, and regio's length, width and the ratio of length to width in the coal-bed binary image were defined as shape parameters. At the same time, a method of the coal-bed image fractures identification based on fracture shape characteristics was proposed. Under condition of the given shape parameters, travel a given gray scale threshold range and identify fracture regions in every coal-bed binary image, then merge all the identified fracture regions as the last coal-bed fractures identification result. Finally, an example was given to demonstrate effectiveness of the method. It is concluded that information of the coal-bed image fractures can be acquired to the maximum extent by traveling a certain gray scale threshold range and identify the coal-bed image fractures, and it can effectively improve accuracy of the coal-bed fracture identification by selecting reasonable thresholds of the shape parameters of the fracture determining coefficient.http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2017.10.012coal-bed fracturecoal-bed imagefracture identificationfracture shape characteristicsdetermination coefficientgray scale threshold |
| spellingShingle | LIU Yong CUI Hongqing Research on coal-bed image fractures identification based on fracture shape characteristics Gong-kuang zidonghua coal-bed fracture coal-bed image fracture identification fracture shape characteristics determination coefficient gray scale threshold |
| title | Research on coal-bed image fractures identification based on fracture shape characteristics |
| title_full | Research on coal-bed image fractures identification based on fracture shape characteristics |
| title_fullStr | Research on coal-bed image fractures identification based on fracture shape characteristics |
| title_full_unstemmed | Research on coal-bed image fractures identification based on fracture shape characteristics |
| title_short | Research on coal-bed image fractures identification based on fracture shape characteristics |
| title_sort | research on coal bed image fractures identification based on fracture shape characteristics |
| topic | coal-bed fracture coal-bed image fracture identification fracture shape characteristics determination coefficient gray scale threshold |
| url | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2017.10.012 |
| work_keys_str_mv | AT liuyong researchoncoalbedimagefracturesidentificationbasedonfractureshapecharacteristics AT cuihongqing researchoncoalbedimagefracturesidentificationbasedonfractureshapecharacteristics |