Texture feature extraction of coal-rock image based on variogram and local variance image
In view of problems of low classification accuracy and algorithmic running efficiency and poor robust property of rotation texture recognition existed in local binary patterns for texture feature extraction of coal-rock, a texture feature extraction algorithm of coal-rock image based on variogram an...
| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Industry and Mine Automation
2018-04-01
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| Series: | Gong-kuang zidonghua |
| Subjects: | |
| Online Access: | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1627-251x.17311 |
| _version_ | 1827988521335390208 |
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| author | HUANG Lei GUO Chaoya |
| author_facet | HUANG Lei GUO Chaoya |
| author_sort | HUANG Lei |
| collection | DOAJ |
| description | In view of problems of low classification accuracy and algorithmic running efficiency and poor robust property of rotation texture recognition existed in local binary patterns for texture feature extraction of coal-rock, a texture feature extraction algorithm of coal-rock image based on variogram and local variance image was proposed. Firstly, local variance image was got by calculating local variance with pixel by pixel in theoretic framework of local binary patterns. Then, the variogram vectors with different direction were calculated by variogram in local variance image. Finally, combination variogram vectors were taken as the texture feature, classification and recognition of texture of coal-rock was realized combining the texture feature and local binary patterns feature. Experiment results show that the algorithm can effectively extract spatial distribution information of the local variance image, realize information reuse missed by local binary patterns, and its classification results are better than other algorithms of texture extraction based on local binary patterns, the classification precision reaches 86%. |
| first_indexed | 2024-04-10T00:04:56Z |
| format | Article |
| id | doaj.art-d0c3ff0a282449269a290f15a1d53055 |
| institution | Directory Open Access Journal |
| issn | 1671-251X |
| language | zho |
| last_indexed | 2024-04-10T00:04:56Z |
| publishDate | 2018-04-01 |
| publisher | Editorial Department of Industry and Mine Automation |
| record_format | Article |
| series | Gong-kuang zidonghua |
| spelling | doaj.art-d0c3ff0a282449269a290f15a1d530552023-03-17T01:19:54ZzhoEditorial Department of Industry and Mine AutomationGong-kuang zidonghua1671-251X2018-04-01444626810.13272/j.issn.1627-251x.17311Texture feature extraction of coal-rock image based on variogram and local variance imageHUANG LeiGUO ChaoyaIn view of problems of low classification accuracy and algorithmic running efficiency and poor robust property of rotation texture recognition existed in local binary patterns for texture feature extraction of coal-rock, a texture feature extraction algorithm of coal-rock image based on variogram and local variance image was proposed. Firstly, local variance image was got by calculating local variance with pixel by pixel in theoretic framework of local binary patterns. Then, the variogram vectors with different direction were calculated by variogram in local variance image. Finally, combination variogram vectors were taken as the texture feature, classification and recognition of texture of coal-rock was realized combining the texture feature and local binary patterns feature. Experiment results show that the algorithm can effectively extract spatial distribution information of the local variance image, realize information reuse missed by local binary patterns, and its classification results are better than other algorithms of texture extraction based on local binary patterns, the classification precision reaches 86%.http://www.gkzdh.cn/article/doi/10.13272/j.issn.1627-251x.17311coal miningcoal and rock recognitionlocal variance imagevariogramtexture feature extractionlocal binary patter |
| spellingShingle | HUANG Lei GUO Chaoya Texture feature extraction of coal-rock image based on variogram and local variance image Gong-kuang zidonghua coal mining coal and rock recognition local variance image variogram texture feature extraction local binary patter |
| title | Texture feature extraction of coal-rock image based on variogram and local variance image |
| title_full | Texture feature extraction of coal-rock image based on variogram and local variance image |
| title_fullStr | Texture feature extraction of coal-rock image based on variogram and local variance image |
| title_full_unstemmed | Texture feature extraction of coal-rock image based on variogram and local variance image |
| title_short | Texture feature extraction of coal-rock image based on variogram and local variance image |
| title_sort | texture feature extraction of coal rock image based on variogram and local variance image |
| topic | coal mining coal and rock recognition local variance image variogram texture feature extraction local binary patter |
| url | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1627-251x.17311 |
| work_keys_str_mv | AT huanglei texturefeatureextractionofcoalrockimagebasedonvariogramandlocalvarianceimage AT guochaoya texturefeatureextractionofcoalrockimagebasedonvariogramandlocalvarianceimage |