Automatic Annotation Method of Gangue Data Based on Digital Image Processing
An automatic annotation method of coal gangue image data based on X-ray acquisition is proposed. Firstly, the manually screened coal and gangue are sent to the X-ray acquisition device for image sampling. Secondly, according to the characteristics of the pure background of coal and gangue images, a...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2024-01-01
|
| Series: | Tehnički Vjesnik |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/457175 |
| _version_ | 1827275739065483264 |
|---|---|
| author | Junpeng Zhou Yongcun Guo Shuang Wang Dongyang Zhao Pengyu Wang Gang Cheng |
| author_facet | Junpeng Zhou Yongcun Guo Shuang Wang Dongyang Zhao Pengyu Wang Gang Cheng |
| author_sort | Junpeng Zhou |
| collection | DOAJ |
| description | An automatic annotation method of coal gangue image data based on X-ray acquisition is proposed. Firstly, the manually screened coal and gangue are sent to the X-ray acquisition device for image sampling. Secondly, according to the characteristics of the pure background of coal and gangue images, a gray threshold is used to detect. Further, the mask is used to purify the detected foreground objects, which obtain a single object image. At the same time, the manually screened coal/gangue is sampled and the category information of the currently detected objects is obtained at the same time, and the monomer sample database is established. Finally, based on the monomer sample library established, the monomers randomly were selected in the sample library and combined to generate sample images with classification and location. That is, the automatic annotation of coal gangue data is completed. The results show that the automatic annotation method of coal gangue image data through digital image processing can effectively annotate the collected coal gangue image data, with a high sample generation rate and annotation accuracy of 99%. |
| first_indexed | 2024-04-24T05:44:17Z |
| format | Article |
| id | doaj.art-f7f710c3619e49f389b0a336a3e6604d |
| institution | Directory Open Access Journal |
| issn | 1330-3651 1848-6339 |
| language | English |
| last_indexed | 2024-04-24T05:44:17Z |
| publishDate | 2024-01-01 |
| publisher | Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek |
| record_format | Article |
| series | Tehnički Vjesnik |
| spelling | doaj.art-f7f710c3619e49f389b0a336a3e6604d2024-04-23T19:13:47ZengFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in OsijekTehnički Vjesnik1330-36511848-63392024-01-0131392893510.17559/TV-20240114001266Automatic Annotation Method of Gangue Data Based on Digital Image ProcessingJunpeng Zhou0Yongcun Guo1Shuang Wang2Dongyang Zhao3Pengyu Wang4Gang Cheng5State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan 232001, China; School of Mechanical Engineering, Anhui University of Science and Technology, Huainan 232001, ChinaState Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan 232001, China; School of Mechanical Engineering, Anhui University of Science and Technology, Huainan 232001, ChinaState Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan 232001, China; School of Mechanical Engineering, Anhui University of Science and Technology, Huainan 232001, ChinaState Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan 232001, China; School of Mechanical Engineering, Anhui University of Science and Technology, Huainan 232001, ChinaState Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan 232001, China; School of Mechanical Engineering, Anhui University of Science and Technology, Huainan 232001, ChinaState Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan 232001, China; School of Mechanical Engineering, Anhui University of Science and Technology, Huainan 232001, ChinaAn automatic annotation method of coal gangue image data based on X-ray acquisition is proposed. Firstly, the manually screened coal and gangue are sent to the X-ray acquisition device for image sampling. Secondly, according to the characteristics of the pure background of coal and gangue images, a gray threshold is used to detect. Further, the mask is used to purify the detected foreground objects, which obtain a single object image. At the same time, the manually screened coal/gangue is sampled and the category information of the currently detected objects is obtained at the same time, and the monomer sample database is established. Finally, based on the monomer sample library established, the monomers randomly were selected in the sample library and combined to generate sample images with classification and location. That is, the automatic annotation of coal gangue data is completed. The results show that the automatic annotation method of coal gangue image data through digital image processing can effectively annotate the collected coal gangue image data, with a high sample generation rate and annotation accuracy of 99%.https://hrcak.srce.hr/file/457175coaldata annotationsgangueimage processingX-ray |
| spellingShingle | Junpeng Zhou Yongcun Guo Shuang Wang Dongyang Zhao Pengyu Wang Gang Cheng Automatic Annotation Method of Gangue Data Based on Digital Image Processing Tehnički Vjesnik coal data annotations gangue image processing X-ray |
| title | Automatic Annotation Method of Gangue Data Based on Digital Image Processing |
| title_full | Automatic Annotation Method of Gangue Data Based on Digital Image Processing |
| title_fullStr | Automatic Annotation Method of Gangue Data Based on Digital Image Processing |
| title_full_unstemmed | Automatic Annotation Method of Gangue Data Based on Digital Image Processing |
| title_short | Automatic Annotation Method of Gangue Data Based on Digital Image Processing |
| title_sort | automatic annotation method of gangue data based on digital image processing |
| topic | coal data annotations gangue image processing X-ray |
| url | https://hrcak.srce.hr/file/457175 |
| work_keys_str_mv | AT junpengzhou automaticannotationmethodofganguedatabasedondigitalimageprocessing AT yongcunguo automaticannotationmethodofganguedatabasedondigitalimageprocessing AT shuangwang automaticannotationmethodofganguedatabasedondigitalimageprocessing AT dongyangzhao automaticannotationmethodofganguedatabasedondigitalimageprocessing AT pengyuwang automaticannotationmethodofganguedatabasedondigitalimageprocessing AT gangcheng automaticannotationmethodofganguedatabasedondigitalimageprocessing |