Full grading detection method of earth-rock materials by combining preliminary screening and video image recognition
Methods for detecting gradation in earth-rock materials using images face challenges, including difficulties in identifying fine-grained stone materials and significant occlusion between different earth-rock components. The present study proposes a comprehensive grading detection method for earth-ro...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-07-01
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| Series: | Case Studies in Construction Materials |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214509525005765 |
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| author | Huawei Zhou Liang Zhu Yihong Zhou Dongfeng Li Tao Fang Chunju Zhao Zhipeng Liang Fang Wang Lei Lei |
| author_facet | Huawei Zhou Liang Zhu Yihong Zhou Dongfeng Li Tao Fang Chunju Zhao Zhipeng Liang Fang Wang Lei Lei |
| author_sort | Huawei Zhou |
| collection | DOAJ |
| description | Methods for detecting gradation in earth-rock materials using images face challenges, including difficulties in identifying fine-grained stone materials and significant occlusion between different earth-rock components. The present study proposes a comprehensive grading detection method for earth-rock materials that integrates preliminary screening with video image recognition. Initially, a preliminary screening-shooting integrated detection device is developed based on the particle size range and the proportion of fully graded earth-rock materials. The device is capable of screening fine particles measuring less than 5 mm and capturing video images of coarse-grained stone with significant separation on the slope surface. Second, an extraction model for the effective frame is constructed, along with a mathematical model for full gradation conversion that takes into account the slip velocity of earth-rock particles, based on the image preprocessing and particle contour feature extraction method for earth-rock materials. Finally, an accuracy analysis model for earth-rock grading detection has been established, leading to the development of a comprehensive grading detection system. This system effectively performs full grading detection, generates grading curves, and conducts accuracy analysis of earth-rock materials. The test results demonstrate that the method outlined in this paper is applicable for conducting six groups of earth-rock grading tests. The results of the grading test align well with the sample data, demonstrating an accuracy exceeding 97 % and a relative error maintained within 2 %. This research addresses the challenges associated with identifying fine particles smaller than 5 mm and the occlusion issues between earth-rock materials during the grading detection process using image recognition. This study establishes a theoretical basis for subsequent investigations into the applications of complex construction sites, facilitating the swift and precise identification of the complete gradation of earth-rock materials within these environments. |
| format | Article |
| id | doaj-art-db734f3c79c8402bb2e7a6cd0f60b085 |
| institution | DOAJ |
| issn | 2214-5095 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Case Studies in Construction Materials |
| spelling | doaj-art-db734f3c79c8402bb2e7a6cd0f60b0852025-08-20T03:07:11ZengElsevierCase Studies in Construction Materials2214-50952025-07-0122e0477810.1016/j.cscm.2025.e04778Full grading detection method of earth-rock materials by combining preliminary screening and video image recognitionHuawei Zhou0Liang Zhu1Yihong Zhou2Dongfeng Li3Tao Fang4Chunju Zhao5Zhipeng Liang6Fang Wang7Lei Lei8Key Laboratory of Health Intelligent Perception and Ecological Restoration of River and Lake, Ministry of Education, Hubei University of Technology, China; School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, ChinaKey Laboratory of Health Intelligent Perception and Ecological Restoration of River and Lake, Ministry of Education, Hubei University of Technology, China; School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, ChinaKey Laboratory of Health Intelligent Perception and Ecological Restoration of River and Lake, Ministry of Education, Hubei University of Technology, China; School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, China; Corresponding author at: Key Laboratory of Health Intelligent Perception and Ecological Restoration of River and Lake, Ministry of Education, Hubei University of Technology, China.Sinohydro Bureau 3 Co., Ltd PowerChina, Xi’an, ChinaSinohydro Bureau 3 Co., Ltd PowerChina, Xi’an, ChinaKey Laboratory of Health Intelligent Perception and Ecological Restoration of River and Lake, Ministry of Education, Hubei University of Technology, China; School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, ChinaKey Laboratory of Health Intelligent Perception and Ecological Restoration of River and Lake, Ministry of Education, Hubei University of Technology, China; School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, ChinaKey Laboratory of Health Intelligent Perception and Ecological Restoration of River and Lake, Ministry of Education, Hubei University of Technology, China; School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, ChinaKey Laboratory of Health Intelligent Perception and Ecological Restoration of River and Lake, Ministry of Education, Hubei University of Technology, China; School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, ChinaMethods for detecting gradation in earth-rock materials using images face challenges, including difficulties in identifying fine-grained stone materials and significant occlusion between different earth-rock components. The present study proposes a comprehensive grading detection method for earth-rock materials that integrates preliminary screening with video image recognition. Initially, a preliminary screening-shooting integrated detection device is developed based on the particle size range and the proportion of fully graded earth-rock materials. The device is capable of screening fine particles measuring less than 5 mm and capturing video images of coarse-grained stone with significant separation on the slope surface. Second, an extraction model for the effective frame is constructed, along with a mathematical model for full gradation conversion that takes into account the slip velocity of earth-rock particles, based on the image preprocessing and particle contour feature extraction method for earth-rock materials. Finally, an accuracy analysis model for earth-rock grading detection has been established, leading to the development of a comprehensive grading detection system. This system effectively performs full grading detection, generates grading curves, and conducts accuracy analysis of earth-rock materials. The test results demonstrate that the method outlined in this paper is applicable for conducting six groups of earth-rock grading tests. The results of the grading test align well with the sample data, demonstrating an accuracy exceeding 97 % and a relative error maintained within 2 %. This research addresses the challenges associated with identifying fine particles smaller than 5 mm and the occlusion issues between earth-rock materials during the grading detection process using image recognition. This study establishes a theoretical basis for subsequent investigations into the applications of complex construction sites, facilitating the swift and precise identification of the complete gradation of earth-rock materials within these environments.http://www.sciencedirect.com/science/article/pii/S2214509525005765Earth-rock materialsPreliminary Screening-Video image recognitionEffective frame graphFull-graded conversionGrading detection system |
| spellingShingle | Huawei Zhou Liang Zhu Yihong Zhou Dongfeng Li Tao Fang Chunju Zhao Zhipeng Liang Fang Wang Lei Lei Full grading detection method of earth-rock materials by combining preliminary screening and video image recognition Case Studies in Construction Materials Earth-rock materials Preliminary Screening-Video image recognition Effective frame graph Full-graded conversion Grading detection system |
| title | Full grading detection method of earth-rock materials by combining preliminary screening and video image recognition |
| title_full | Full grading detection method of earth-rock materials by combining preliminary screening and video image recognition |
| title_fullStr | Full grading detection method of earth-rock materials by combining preliminary screening and video image recognition |
| title_full_unstemmed | Full grading detection method of earth-rock materials by combining preliminary screening and video image recognition |
| title_short | Full grading detection method of earth-rock materials by combining preliminary screening and video image recognition |
| title_sort | full grading detection method of earth rock materials by combining preliminary screening and video image recognition |
| topic | Earth-rock materials Preliminary Screening-Video image recognition Effective frame graph Full-graded conversion Grading detection system |
| url | http://www.sciencedirect.com/science/article/pii/S2214509525005765 |
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