A Method for Borehole Image Reverse Positioning and Restoration Based on Grayscale Characteristics
Borehole imaging technology is a critical means for the meticulous measurement of rock mass structures. However, the inherent issue of probe eccentricity significantly compromises the quality of borehole images obtained during testing. This paper proposes a method based on grayscale feature analysis...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/1/222 |
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| author | Shuangyuan Chen Zengqiang Han Yiteng Wang Yuyong Jiao Chao Wang Jinchao Wang |
| author_facet | Shuangyuan Chen Zengqiang Han Yiteng Wang Yuyong Jiao Chao Wang Jinchao Wang |
| author_sort | Shuangyuan Chen |
| collection | DOAJ |
| description | Borehole imaging technology is a critical means for the meticulous measurement of rock mass structures. However, the inherent issue of probe eccentricity significantly compromises the quality of borehole images obtained during testing. This paper proposes a method based on grayscale feature analysis for reverse positioning of imaging probes and image restoration. An analysis of the response characteristics of probe eccentricity was conducted, leading to the development of a grayscale feature model and a method for reverse positioning analysis. By calculating the error matrix using the probe’s spatial trajectory, this method corrects and restores grayscale errors caused by probe eccentricity in images. Quantitative analysis was conducted on the azimuthal errors in borehole images caused by probe eccentricity, establishing a method for correcting image perspective errors based on probe spatial-positioning calibration. Results indicate significant enhancement in the effectiveness and measurement accuracy of borehole images. |
| format | Article |
| id | doaj-art-ef89a2f5b6544251aa02512708cf4249 |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-ef89a2f5b6544251aa02512708cf42492025-01-10T13:14:50ZengMDPI AGApplied Sciences2076-34172024-12-0115122210.3390/app15010222A Method for Borehole Image Reverse Positioning and Restoration Based on Grayscale CharacteristicsShuangyuan Chen0Zengqiang Han1Yiteng Wang2Yuyong Jiao3Chao Wang4Jinchao Wang5State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, ChinaState Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, ChinaState Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, ChinaFaculty of Engineering, China University of Geoscience, Wuhan 430074, ChinaState Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, ChinaState Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, ChinaBorehole imaging technology is a critical means for the meticulous measurement of rock mass structures. However, the inherent issue of probe eccentricity significantly compromises the quality of borehole images obtained during testing. This paper proposes a method based on grayscale feature analysis for reverse positioning of imaging probes and image restoration. An analysis of the response characteristics of probe eccentricity was conducted, leading to the development of a grayscale feature model and a method for reverse positioning analysis. By calculating the error matrix using the probe’s spatial trajectory, this method corrects and restores grayscale errors caused by probe eccentricity in images. Quantitative analysis was conducted on the azimuthal errors in borehole images caused by probe eccentricity, establishing a method for correcting image perspective errors based on probe spatial-positioning calibration. Results indicate significant enhancement in the effectiveness and measurement accuracy of borehole images.https://www.mdpi.com/2076-3417/15/1/222borehole imagerock mass structureimage restoration |
| spellingShingle | Shuangyuan Chen Zengqiang Han Yiteng Wang Yuyong Jiao Chao Wang Jinchao Wang A Method for Borehole Image Reverse Positioning and Restoration Based on Grayscale Characteristics Applied Sciences borehole image rock mass structure image restoration |
| title | A Method for Borehole Image Reverse Positioning and Restoration Based on Grayscale Characteristics |
| title_full | A Method for Borehole Image Reverse Positioning and Restoration Based on Grayscale Characteristics |
| title_fullStr | A Method for Borehole Image Reverse Positioning and Restoration Based on Grayscale Characteristics |
| title_full_unstemmed | A Method for Borehole Image Reverse Positioning and Restoration Based on Grayscale Characteristics |
| title_short | A Method for Borehole Image Reverse Positioning and Restoration Based on Grayscale Characteristics |
| title_sort | method for borehole image reverse positioning and restoration based on grayscale characteristics |
| topic | borehole image rock mass structure image restoration |
| url | https://www.mdpi.com/2076-3417/15/1/222 |
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