Study on 3-dimensional stereoscopic image model in intelligent coal mine
This paper briefly describes the image analysis technology needed in the construction of intelligent coal mine, mainly for the reconstruction process of 3-dimensional (3D) image model in coal mine. If all the pixel points are concerned to calculate in whole picture, it should ask for higher computin...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-09-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722006308 |
| _version_ | 1811225038194475008 |
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| author | Tingyu Du Dongxing Wang Xu Qian |
| author_facet | Tingyu Du Dongxing Wang Xu Qian |
| author_sort | Tingyu Du |
| collection | DOAJ |
| description | This paper briefly describes the image analysis technology needed in the construction of intelligent coal mine, mainly for the reconstruction process of 3-dimensional (3D) image model in coal mine. If all the pixel points are concerned to calculate in whole picture, it should ask for higher computing processing equipment and large amount of computation. Therefore, this paper proposes a method which is firstly carried out target detection or image segmentation to get object to be recognized on the image, then taken image registration of target area according to the detected or segmented pixels, and the dense point matrix is diffused and fused according to the sparse point matrix, and then the 3D model is generated. In the 3D model, the length, depth and angle are easier to get accurate results, which plays a very important role in the subsequent scene analysis. In image 3D reconstruction, the region of registration has been greatly reduced due to image recognition or segmentation, and the number of registration points found by the improved registration using swarm intelligence algorithm is 6 times than algorithm without improvement, and the depth data obtained in the subsequent 3D reconstruction is basically consistent with that in the actual scene. In the future production monitoring, it is the judgement that can meet the corresponding business logic and production requirements. |
| first_indexed | 2024-04-12T09:00:23Z |
| format | Article |
| id | doaj.art-2c07505f17694c688ca9bf27f2d65fa4 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-12T09:00:23Z |
| publishDate | 2022-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-2c07505f17694c688ca9bf27f2d65fa42022-12-22T03:39:16ZengElsevierEnergy Reports2352-48472022-09-018291299Study on 3-dimensional stereoscopic image model in intelligent coal mineTingyu Du0Dongxing Wang1Xu Qian2School of Mechanical Electronic and Information Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China; Corresponding author.School of Electrical Engineering, Zhejiang University, Hangzhou 310058, ChinaSchool of Mechanical Electronic and Information Engineering, China University of Mining and Technology-Beijing, Beijing 100083, ChinaThis paper briefly describes the image analysis technology needed in the construction of intelligent coal mine, mainly for the reconstruction process of 3-dimensional (3D) image model in coal mine. If all the pixel points are concerned to calculate in whole picture, it should ask for higher computing processing equipment and large amount of computation. Therefore, this paper proposes a method which is firstly carried out target detection or image segmentation to get object to be recognized on the image, then taken image registration of target area according to the detected or segmented pixels, and the dense point matrix is diffused and fused according to the sparse point matrix, and then the 3D model is generated. In the 3D model, the length, depth and angle are easier to get accurate results, which plays a very important role in the subsequent scene analysis. In image 3D reconstruction, the region of registration has been greatly reduced due to image recognition or segmentation, and the number of registration points found by the improved registration using swarm intelligence algorithm is 6 times than algorithm without improvement, and the depth data obtained in the subsequent 3D reconstruction is basically consistent with that in the actual scene. In the future production monitoring, it is the judgement that can meet the corresponding business logic and production requirements.http://www.sciencedirect.com/science/article/pii/S2352484722006308Coal mineTarget detectionImage segmentationImage registration3D model establishment |
| spellingShingle | Tingyu Du Dongxing Wang Xu Qian Study on 3-dimensional stereoscopic image model in intelligent coal mine Energy Reports Coal mine Target detection Image segmentation Image registration 3D model establishment |
| title | Study on 3-dimensional stereoscopic image model in intelligent coal mine |
| title_full | Study on 3-dimensional stereoscopic image model in intelligent coal mine |
| title_fullStr | Study on 3-dimensional stereoscopic image model in intelligent coal mine |
| title_full_unstemmed | Study on 3-dimensional stereoscopic image model in intelligent coal mine |
| title_short | Study on 3-dimensional stereoscopic image model in intelligent coal mine |
| title_sort | study on 3 dimensional stereoscopic image model in intelligent coal mine |
| topic | Coal mine Target detection Image segmentation Image registration 3D model establishment |
| url | http://www.sciencedirect.com/science/article/pii/S2352484722006308 |
| work_keys_str_mv | AT tingyudu studyon3dimensionalstereoscopicimagemodelinintelligentcoalmine AT dongxingwang studyon3dimensionalstereoscopicimagemodelinintelligentcoalmine AT xuqian studyon3dimensionalstereoscopicimagemodelinintelligentcoalmine |