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Application of canny operator threshold adaptive segmentation algorithm combined with digital image processing in tunnel face crevice extraction

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Abstract

The present work aims to reduce tunnel construction accidents to personnel. The threshold adaptive segmentation algorithm combined with the Canny operator is employed to extract and detect the cracks on the rock mass of the tunnel face from digital images of the tunnel face. Firstly, the gray change processing and histogram equalization technology of the image processing algorithm enhance the contrast of the digital image of rock mass on the tunnel face. Then, the Canny operator and OTSU method construct a threshold adaptive segmentation algorithm to segment the rock mass crevice image after increasing the contrast and to classify crevices on the tunnel face into streak cracks and irregular cracks. Secondly, the segmented image is corrupted, extended, and refined; meanwhile, boundary fitting, separation, merging, and filtering are carried out to form a relatively complete rock boundary recognition result. Finally, the streak crevices and irregular crevices are detected according to the crevice geometry and pixel distribution characteristics to determine the crack direction. The experimental results show that this method can extract complete rock cracks with less than a 2% extraction error rate. Besides, the detection rates of the algorithm for the streak crevices and irregular crevices are 97% and 94%, respectively, and the detection accuracy of the crevice direction is 98%. This indicates that the algorithm proposed here is applicable to geological sketch and provides a reference for the classification of surrounding rock on the tunnel face.

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References

  1. Pieter-Ewald S, Petr T, Petra T, Jakub S, Rockwell TK, Adam W (2020) Characterizing the uppermost 100m structure of the San Jacinto fault zone southeast of Anza, California, through joint analysis of geological, topographic, seismic and resistivity data. Geophys J Int 11(2):2

    Google Scholar 

  2. Jean-Claude B, Rigobert T, Joachim E, Basile D (2019) Geological context mapping of batouri gold district (east cameroon) from remote sensing imaging, GIS processing and field works. J Geogr Inf Syst 11(6):766–783

    Google Scholar 

  3. Damadipour M, Nazarpour M, Alami MT (2019) Evaluation of particle size distribution using an efficient approach based on image processing techniques. Iran J Sci Technol B 43(Suppl 1):S429–S441

    Google Scholar 

  4. Shawky MM, El-Arafy RA, Zalaky ME, Elarif T (2019) Validating (MNF) transform to determine the least inherent dimensionality of ASTER image data of some uranium localities at Central Eastern Desert, Egypt. J Afr Earth Sci 149(1):441–450

    Article  Google Scholar 

  5. Wei X, Sun Z, Wang Z (2021) Study on the influence of surrounding rock parameters on the stability of tunnel face. IOP Conf Ser Earth Environ Sci 643(1):012038

    Article  Google Scholar 

  6. Moomivand H, Seadati S, Allahverdizadeh H (2021) A new approach to improve the assessment of rock mass discontinuity spacing using image analysis technique. Int J Rock Mech Min 143:104760

    Article  Google Scholar 

  7. Rado Saw W, Waldemar K, Ukasz B (2021) Identification of rock mass critical discontinuities while borehole drilling. Energies 14(10):2748

    Article  Google Scholar 

  8. Monsalve JJ, Pfreundschuh A, Soni A, Ripepi N (2021) Automated discontinuity extraction software versus manual virtual discontinuity mapping: performance evaluation in rock mass characterization and rockfall hazard identification. Min Metall Explor 12(2):1–12

    Google Scholar 

  9. Yin X, Zhang A, Chen L (2021) A Modified engineering classification method for schistose surrounding rocks of tunnel. Int J Clin Exp Med 39(4):11–13

    Google Scholar 

  10. Wang Y, Wu CS, Shu Z (2019) Application and research of geologic radar in groundwater disease of tunnel engineering inspection. E3S Web Conf 131(2):01063

    Article  Google Scholar 

  11. Lee YL, Hsu WK, Lee CM, Xin YX, Zhou BY (2021) Direct calculation method for the analysis of non-linear behavior of ground-support interaction of a circular tunnel using convergence confinement approach. Geotech Geol Eng 39(9):1–18

    Google Scholar 

  12. Zhang D, Xiao S, Cheng L (2020) Application study on treatment technology of geological disasters caused by water and mud inrush in ningchan tunnel. IOP Conf Ser Earth Environ Sci 580(1):012023

    Article  Google Scholar 

  13. Li Y, Yu Z (2020) Study of the cracking mechanism of the secondary lining of Jijiawan tunnel. Int Core J Eng 6(1):265–272

    Google Scholar 

  14. Zareifard MR (2020) A simple closed-form solution for analysis of tunnels in mohr-coulomb grounds considering gravity loading. Geotech Geol Eng 38(4):3751–3760

    Article  Google Scholar 

  15. Zhao J, Ren J, Gao J, Murray P, Wang D (2019) Automatic events extraction in pre-stack seismic data based on edge detection in slant-stacked peak amplitude profiles. J Petrol Sci Eng J 178:459–466

    Article  Google Scholar 

  16. Zhang Z, Wang G, Carranza E, Zhang JJ, Pang Z (2019) Metallogenic model of the Wulong gold district, China, and associated assessment of exploration criteria based on multi-scale geoscience datasets. Ore Geol Rev 11(1):114

    Google Scholar 

  17. Arefin R, Meshram SG, Santos C, Pushparaj J (2020) Hybrid modelling approach for water body change detection at Chalan Beel area in northern Bangladesh. Carpath J Earth Env 79(19):1–18

    Google Scholar 

  18. Guo S, Chen R, Li H, Zhang T, Liu Y (2019) Identify severity bug report with distribution imbalance by CR-SMOTE and ELM. Int J Softw Eng Know 29(2):139–175

    Article  Google Scholar 

  19. Diao Z, Diao C, Yuan W, Wu Y (2018) Segmentation algorithm with threshold for wheat lesion based on improved fuzzy edge detection. Nongye Gongcheng Xuebao/Trans Chin Soc Agric Eng 34(10):147–152

    Google Scholar 

  20. Kumar S, Singh A, Kumar M (2018) Covert information sharing with novel fuzzy adaptive edge detection. Secur Privacy 1(6):11–14

    Google Scholar 

  21. Baareh A, Al-Jarrah A, Smadi AM (2018) Performance evaluation of edge detection using sobel, homogeneity and prewitt algorithms. J Softw Eng Appl 11(11):537–551

    Article  Google Scholar 

  22. Zhang D, Zhang HQ, Zhao S, Li ZG, Hou SX (2019) Electrochemical impedance spectroscopy evaluation of corrosion protection of X65 carbon steel by halloysite nanotube-filled epoxy composite coatings in 3.5% NaCl solution. Int J Electrochem Sci 14:4659–4667

    Article  Google Scholar 

  23. Sathya PD, Kalyani R, Sakthivel VP (2021) Color image segmentation using Kapur, Otsu and minimum cross entropy functions based on exchange market algorithm. Expert Syst Appl 172(3):114636

    Article  Google Scholar 

  24. Huo X, Wu Q, Tang H (2020) A new approach for estimating rock discontinuity trace intensity based on rectangular sampling windows. Adv Civ Eng Mater 6:1–14

    Google Scholar 

  25. Salvini R, Vanneschi C, Coggan JS, Mastrorocco G (2020) Evaluation of the use of UAV photogrammetry for rock discontinuity roughness characterization. Rock Mech Rock Eng 53(8):3699–3720

    Article  Google Scholar 

  26. Xu W, Zhang Y, Li X (2020) Extraction and statistics of discontinuity orientation and trace length from typical fractured rock mass: a case study of the Xinchang underground research laboratory site, China. Eng Geol 269:105553

    Article  Google Scholar 

  27. Huang D, Zhong Z, Gu DM (2019) Experimental investigation on the failure mechanism of a rock landslide controlled by a steep-gentle discontinuity pair. J MT Sci-Engl 16(6):1258–1274

    Article  Google Scholar 

  28. Wu W, Zhang K, Zhu H (2020) A fast automatic extraction method for rock mass discontinuity orientation using fast k-means++ and fast silhouette based on 3D point cloud. IOP Conf Ser Earth Environ Sci 570(5):052075

    Article  Google Scholar 

  29. Chen J, Huang H, Zhou M, Chaiyasarn K (2021) Towards semi-automatic discontinuity characterization in rock tunnel faces using 3D point clouds. Eng Geol 291(2):106232

    Article  Google Scholar 

  30. Saksala T, Ibrahimbegovic A (2020) Thermal shock weakening of granite rock under dynamic loading: 3D numerical modeling based on embedded discontinuity finite elements. Int J Numer Meth FL 44(13):112–116

    Google Scholar 

  31. Boudraa O, Hidouci WK, Michelucci D (2020) Using skeleton and Hough transform variant to correct skew in historical documents. Math Comput Simul (MATCOM) 167(23):34–35

    MathSciNet  MATH  Google Scholar 

  32. Oge IF, Cirak M (2019) Relating rock mass properties with Lugeon value using multiple regression and nonlinear tools in an underground mine site. B Eng Geol Environ 78(2):1113–1126

    Article  Google Scholar 

  33. Yang HQ, Chen X, Zhang L (2020) Conditions of hydraulic heterogeneity under which Bayesian estimation is more reliable. Water 12(1):160

    Article  Google Scholar 

  34. Wu W, Liu X, Guo J (2021) Upper limit analysis of stability of the water-resistant rock mass of a Karst tunnel face considering the seepage force. Bull Eng Geol Env 80(7):5813–5830

    Article  Google Scholar 

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Acknowledgements

This research was funded by Key research and development program of Shandong province (Grant Number: 2019GSF111022); National Natural Science Foundation of China (Grant Number: 51909150).

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Authors and Affiliations

  1. Department of Civil Engineering, Shandong University of Science and Technology, Qingdao, 266590, China

    Feng Jiang, Gang Wang, Peng He, Chengcheng Zheng, Zhiyong Xiao & Yue Wu

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  1. Feng Jiang
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  2. Gang Wang
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  3. Peng He
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  4. Chengcheng Zheng
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  5. Zhiyong Xiao
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  6. Yue Wu
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Correspondence to Peng He.

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Jiang, F., Wang, G., He, P. et al. Application of canny operator threshold adaptive segmentation algorithm combined with digital image processing in tunnel face crevice extraction. J Supercomput 78, 11601–11620 (2022). https://doi.org/10.1007/s11227-022-04330-9

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