{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T19:20:19Z","timestamp":1754162419415,"version":"3.41.2"},"reference-count":31,"publisher":"Walter de Gruyter GmbH","issue":"1","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,4,21]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>The track state detection is of great significance to timely understand the operation state of track and find track defects and prevent operation accidents. This article initially analyzes the key technologies of track detection system and then proposes an image detection technology and image processing method for analyzing track detection at home and abroad, thus putting forward the scheme of track detection using image processing. The characteristics of onsite track images are analyzed, and a track state detection system based on track image preprocessing, image position correction, image defect comparison, and track section size measurement is designed in this article. Further in this article, a study of image linear transformation, noise filtering, defect recognition, and edge detection in track image processing is applied. Furthermore, a robust piecewise linear transformation is designed using the combination of image threshold transformation and image gray transformation. It reduces the loss of detailed information in the process of image processing. The center point of track bright band is determined by the image region segmentation method, which effectively reduces the error of image track measurement and improves the measurement accuracy.<\/jats:p>","DOI":"10.1515\/pjbr-2022-0090","type":"journal-article","created":{"date-parts":[[2023,4,21]],"date-time":"2023-04-21T07:50:52Z","timestamp":1682063452000},"source":"Crossref","is-referenced-by-count":0,"title":["Application of vibration compensation based on image processing in track displacement monitoring"],"prefix":"10.1515","volume":"14","author":[{"given":"Ping","family":"Yu","sequence":"first","affiliation":[{"name":"School of Information Engineering, Yancheng Teachers University , Yancheng , Jiangsu, 224002 , China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Honglin","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Yancheng Teachers University , Yancheng , Jiangsu, 224002 , China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"374","published-online":{"date-parts":[[2023,4,21]]},"reference":[{"key":"2025073006061542074_j_pjbr-2022-0090_ref_001","doi-asserted-by":"crossref","unstructured":"M. Subhani, J. Li, B. Samali, and K. Crews, \u201cReducing the effect of wave dispersion in a timber pole based on transversely isotropic material modelling,\u201d Constr. & Build. Mater., vol. 102, no. JAN.15PT.2, pp. 985\u2013998, 2016.","DOI":"10.1016\/j.conbuildmat.2015.10.010"},{"key":"2025073006061542074_j_pjbr-2022-0090_ref_002","doi-asserted-by":"crossref","unstructured":"Z. Yang, H. Mei, X. Sun, and P. Jia, \u201cCompensation control of rotor mass eccentric vibration for bearingless induction motors,\u201d J. Power Electron., vol. 21, no. 5, pp. 792\u2013803, 2021.","DOI":"10.1007\/s43236-021-00220-0"},{"key":"2025073006061542074_j_pjbr-2022-0090_ref_003","unstructured":"Q. Liu, J. Wang, L. Xiao, L. I. Jichao, B. Liu, and X. Zhang, \u201cApplication of OFDR-based sensing technology in geo-mechanical model test on tunnel excavation using cross rock pillar method,\u201d Yanshilixue Yu Gongcheng Xuebao\/Chinese J. Rock. Mech. Eng., vol. 36, no. 5, pp. 1063\u20131075, 2017."},{"key":"2025073006061542074_j_pjbr-2022-0090_ref_004","doi-asserted-by":"crossref","unstructured":"H. Wang, J. Fu, W. Lin, S. Hu, C. J. Kuo, and L. Zuo, \u201cImage quality assessment based on local linear information and distortion-specific compensation,\u201d IEEE Trans. Image Process, vol. 26, no. 2, pp. 915\u2013926, 2017.","DOI":"10.1109\/TIP.2016.2639451"},{"key":"2025073006061542074_j_pjbr-2022-0090_ref_005","unstructured":"Y. Wang, S. Feng, and Q. Zhang, \u201cInverse synthetic aperture radar imaging of multi-targets based on image processing technique,\u201d J. Harbin Inst. Technol. (New Ser.), vol. 25, no. 6, pp. 46\u201358, 2018."},{"key":"2025073006061542074_j_pjbr-2022-0090_ref_006","unstructured":"W. Yong, F. Shuai, and Q. Zhang, \u201cInverse synthetic aperture radar imaging of multi-targets based on image processing technique,\u201d J. Harbin Inst. Technology (New Ser.), vol. 25, no. 06, pp. 50\u201362, 2018."},{"key":"2025073006061542074_j_pjbr-2022-0090_ref_007","doi-asserted-by":"crossref","unstructured":"H. Zhu, Z. Yang, X. Sun, D. Wang, and X. Chen, \u201cRotor vibration control of a bearingless induction motor based on unbalanced force feed-forward compensation and current compensation,\u201d IEEE Access, vol. 99, p. 1, 2020.","DOI":"10.1109\/ACCESS.2020.2964106"},{"key":"2025073006061542074_j_pjbr-2022-0090_ref_008","doi-asserted-by":"crossref","unstructured":"K. Zhang, Q. Liu, C. Sun, P. Yang, Y. Tang, J. Chen, et al., \u201cVibration error-compensation technique in phase shifting moir\u00e9 interferometry,\u201d Exp. Tech., vol. 41, no. 3, pp. 279\u2013288, 2017.","DOI":"10.1007\/s40799-017-0177-2"},{"key":"2025073006061542074_j_pjbr-2022-0090_ref_009","doi-asserted-by":"crossref","unstructured":"H. M. Hu, Q. Guo, J. Zheng, H. Wang, and B. Li, \u201cSingle image defogging based on illumination decomposition for visual maritime surveillance,\u201d IEEE Trans. Image Process., vol. 28, no. 6, pp. 2882\u20132897, 2019.","DOI":"10.1109\/TIP.2019.2891901"},{"key":"2025073006061542074_j_pjbr-2022-0090_ref_010","doi-asserted-by":"crossref","unstructured":"E. Zappa and R. Liu, \u201cA novel compensation method for systematic effect in displacement measurement based on vision systems,\u201d Meas. Sci. & Technol., vol. 28, no. 6. p. 064003, 2017.","DOI":"10.1088\/1361-6501\/aa6a7f"},{"key":"2025073006061542074_j_pjbr-2022-0090_ref_011","doi-asserted-by":"crossref","unstructured":"W. Yong, Z. Wang, B. Zhao, and X. Liang, \u201cCompensation for high-frequency vibration of platform in SAR imaging based on adaptive chirplet decomposition,\u201d IEEE Geosci. & Remote. Sens. Lett., vol. 13, no. 6, pp. 792\u2013795, 2016.","DOI":"10.1109\/LGRS.2016.2544945"},{"key":"2025073006061542074_j_pjbr-2022-0090_ref_012","doi-asserted-by":"crossref","unstructured":"O. Shotaro, F. Yuta, S. Takahide, Y. Naokatsu, and N. Moriya, \u201cExperimental demonstration of SPM compensation based on digital signal processing using a three-layer neural-network for 40-Gbit\/s optical 16QAM signal,\u201d IEICE Commun. Express, vol. 7, no. 1, pp. 13\u201318, 2017.","DOI":"10.1587\/comex.2017XBL0148"},{"key":"2025073006061542074_j_pjbr-2022-0090_ref_013","unstructured":"B. Jaegyung, J. Jang, and Y. G. Seo, \u201cThe slope extraction and compensation based on adaptive edge enhancement to extract scene text region,\u201d J. Digital Contents Soc., vol. 18, no. 4, pp. 777\u2013785, 2017."},{"key":"2025073006061542074_j_pjbr-2022-0090_ref_014","doi-asserted-by":"crossref","unstructured":"G. Veselov, A. Tselykh, and A. Sharma, \u201cIntroduction to the Special Issue: Futuristic trends and emergence of technology in biomedical, nonlinear dynamics and control engineering,\u201d J. Vibroengineering, vol. 23, no. 6, pp. 1315\u20131317, 2021.","DOI":"10.21595\/jve.2021.22226"},{"key":"2025073006061542074_j_pjbr-2022-0090_ref_015","doi-asserted-by":"crossref","unstructured":"F. Wu, C. Zhu, J. Xu, M. W. Bhatt, and A. Sharma, \u201cResearch on image text recognition based on canny edge detection algorithm and k-means algorithm,\u201d Int. J. Syst. Assur. Eng. Manag., vol. 13, pp. 1\u20139, 2021.","DOI":"10.1007\/s13198-021-01262-0"},{"key":"2025073006061542074_j_pjbr-2022-0090_ref_016","doi-asserted-by":"crossref","unstructured":"Z. Jia and A. Sharma, \u201cReview on engine vibration fault analysis based on data mining,\u201d J. Vibroengineering, vol. 23, no. 6, pp. 1433\u20131445, 2021.","DOI":"10.21595\/jve.2021.21928"},{"key":"2025073006061542074_j_pjbr-2022-0090_ref_017","doi-asserted-by":"crossref","unstructured":"H. Cao, Y. Zhang, C. Shen, Y. Liu, and X. Wang, \u201cTemperature energy influence compensation for MEMS vibration gyroscope based on RBF NN-GA-KF method,\u201d Shock. & Vib., vol. 2018, no. PT.12, pp. 2830686.1\u20132830686.10, 2018.","DOI":"10.1155\/2018\/2830686"},{"key":"2025073006061542074_j_pjbr-2022-0090_ref_018","doi-asserted-by":"crossref","unstructured":"S. Li, J. C. Nunes, C. Toumoulin, and L. Luo, \u201c3D coronary artery reconstruction by 2D motion compensation based on mutual information,\u201d IRBM, vol. 39, no. 1, pp. 69\u201382, 2018.","DOI":"10.1016\/j.irbm.2017.11.005"},{"key":"2025073006061542074_j_pjbr-2022-0090_ref_019","doi-asserted-by":"crossref","unstructured":"F. Zhang, L. Cheng, X. Li, and Y. Z. Sun, \u201cA prediction-based hierarchical delay compensation (PHDC) technique enhanced by increment autoregression prediction for wide-area control systems,\u201d IEEE Trans. Smart Grid, vol. 11, no. 2, pp. 1253\u20131263, 2020.","DOI":"10.1109\/TSG.2019.2934113"},{"key":"2025073006061542074_j_pjbr-2022-0090_ref_020","unstructured":"C. Mao and C. Zhu, \u201cUnbalance compensation for active magnetic bearing rotor system using a variable step size real-time iterative seeking algorithm,\u201d IEEE Trans. Ind. Electron., vol. 99, p. 1, 2017."},{"key":"2025073006061542074_j_pjbr-2022-0090_ref_021","doi-asserted-by":"crossref","unstructured":"H. Jiang, J. Cheng, J. Zhang, J. Zhang, and Y. Zheng, \u201cPrinciple and application of in-situ monitoring system for ground displacement induced by shield tunnelling,\u201d Tunn. Undergr. Space Technol., vol. 112, no. 13\u201320. p. 103905, 2021.","DOI":"10.1016\/j.tust.2021.103905"},{"key":"2025073006061542074_j_pjbr-2022-0090_ref_022","doi-asserted-by":"crossref","unstructured":"N. Wang, K. Ri, L. Hao, and X. Zhao, \u201cStructural displacement monitoring using smartphone camera and digital image correlation,\u201d IEEE Sens. J., vol. 18, no. 99, pp. 4664\u20134672, 2018.","DOI":"10.1109\/JSEN.2018.2828139"},{"key":"2025073006061542074_j_pjbr-2022-0090_ref_023","unstructured":"J. Bohlmark, H. Curtins, and A. Kinell, \u201cCathodic arc deposition,\u201d Encycl. Tribol., vol. 93, no. 4\u20135,. p. 311, 2017."},{"key":"2025073006061542074_j_pjbr-2022-0090_ref_024","doi-asserted-by":"crossref","unstructured":"D. K. Jung and K. C. Lee, \u201cEvaluation of additional rail stress for partial application of sliding slab track,\u201d Int. J. Railw., vol. 10, no. 1, pp. 1\u20134, 2017.","DOI":"10.7782\/IJR.2017.10.1.001"},{"key":"2025073006061542074_j_pjbr-2022-0090_ref_025","doi-asserted-by":"crossref","unstructured":"K. Ishiguri, A. Kazato, K. Miyahara, M. Niiyama, and K. Sasaki, \u201cImprovement of the lateral ride comfort on railway vehicles by application of pneumatic actuators for centering,\u201d Q. Rep. RTRI, vol. 58, no. 1, pp. 14\u201320, 2017.","DOI":"10.2219\/rtriqr.58.1_14"},{"key":"2025073006061542074_j_pjbr-2022-0090_ref_026","doi-asserted-by":"crossref","unstructured":"T. Mutoh, T. Mutoh, M. Takada, M. Doumura, M. Ihara, Y. Taki, et al., \u201cApplication of a tri-axial accelerometry-based portable motion recorder for the quantitative assessment of hippotherapy in children and adolescents with cerebral palsy,\u201d J. Phys. Ther. Sci., vol. 28, no. 10, pp. 2970\u20132974, 2016.","DOI":"10.1589\/jpts.28.2970"},{"key":"2025073006061542074_j_pjbr-2022-0090_ref_027","doi-asserted-by":"crossref","unstructured":"Q. Liu, T. Chu, Y. Tan, and W. Boonpook, \u201cApplication of insar in surface deformation monitoring of electric power line selection,\u201d J. Computer Commun., vol. 07, no. 7, pp. 39\u201352, 2019.","DOI":"10.4236\/jcc.2019.77005"},{"key":"2025073006061542074_j_pjbr-2022-0090_ref_028","doi-asserted-by":"crossref","unstructured":"S. Zhu, M. Wang, W. Zhai, C. Cai, C. Zhao, D. Zeng, et al., \u201cMechanical property and damage evolution of concrete interface of ballastless track in high-speed railway: experiment and simulation,\u201d Constr. Build. Mater., vol. 187, no. OCT.30, pp. 460\u2013473, 2018.","DOI":"10.1016\/j.conbuildmat.2018.07.163"},{"key":"2025073006061542074_j_pjbr-2022-0090_ref_029","doi-asserted-by":"crossref","unstructured":"Y. Wang, Z. Yang, Z. Li, J. Zhu, and L.Wu, \u201cFusing adjacent-track InSAR datasets to densify the temporal resolution of time-series 3-D displacement estimation over mining areas with a prior deformation model and a generalized weighting least-squares method,\u201d J. Geodesy, vol. 94, no. 5, pp. 1\u201317, 2020.","DOI":"10.1007\/s00190-020-01374-8"},{"key":"2025073006061542074_j_pjbr-2022-0090_ref_030","unstructured":"Y. Li, Y. Bao, and H. Xiang, \u201cSimulation method and its application in dynamic analysis of vehicle-track-bridge system with ballastless track based on surrogate model,\u201d China Civ. Eng. J., vol. 51, no. 5, pp. 95\u2013102, 2018."},{"key":"2025073006061542074_j_pjbr-2022-0090_ref_031","unstructured":"W. Du, J. Huang, and J. Xu, \u201cApplication of SAR image in local surface deformation monitoring,\u201d J. Geomat., vol. 42, no. 3, pp. 37\u201338, 2017."}],"container-title":["Paladyn, Journal of Behavioral Robotics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.1515\/pjbr-2022-0090\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.1515\/pjbr-2022-0090\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T06:11:47Z","timestamp":1753855907000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.1515\/pjbr-2022-0090\/html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,1]]},"references-count":31,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2023,7,29]]},"published-print":{"date-parts":[[2023,7,29]]}},"alternative-id":["10.1515\/pjbr-2022-0090"],"URL":"https:\/\/doi.org\/10.1515\/pjbr-2022-0090","relation":{},"ISSN":["2081-4836"],"issn-type":[{"type":"electronic","value":"2081-4836"}],"subject":[],"published":{"date-parts":[[2023,1,1]]},"article-number":"20220090"}}