{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T23:29:55Z","timestamp":1780356595187,"version":"3.54.1"},"reference-count":30,"publisher":"MDPI AG","issue":"24","license":[{"start":{"date-parts":[[2022,12,7]],"date-time":"2022-12-07T00:00:00Z","timestamp":1670371200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Key R&amp;D Program of China for Robot Project","award":["2018YFB1308700"],"award-info":[{"award-number":["2018YFB1308700"]}]},{"name":"National Key R&amp;D Program of China for Robot Project","award":["2020XXX009"],"award-info":[{"award-number":["2020XXX009"]}]},{"name":"National Key R&amp;D Program of China for Robot Project","award":["202104041101031"],"award-info":[{"award-number":["202104041101031"]}]},{"name":"National Key R&amp;D Program of China for Robot Project","award":["20220028"],"award-info":[{"award-number":["20220028"]}]},{"name":"Shanxi Provincial Key Core Technologies and Common Technology Special Projects","award":["2018YFB1308700"],"award-info":[{"award-number":["2018YFB1308700"]}]},{"name":"Shanxi Provincial Key Core Technologies and Common Technology Special Projects","award":["2020XXX009"],"award-info":[{"award-number":["2020XXX009"]}]},{"name":"Shanxi Provincial Key Core Technologies and Common Technology Special Projects","award":["202104041101031"],"award-info":[{"award-number":["202104041101031"]}]},{"name":"Shanxi Provincial Key Core Technologies and Common Technology Special Projects","award":["20220028"],"award-info":[{"award-number":["20220028"]}]},{"name":"Shanxi Provincial Special Project of Scientific and Technological Cooperation and Exchange","award":["2018YFB1308700"],"award-info":[{"award-number":["2018YFB1308700"]}]},{"name":"Shanxi Provincial Special Project of Scientific and Technological Cooperation and Exchange","award":["2020XXX009"],"award-info":[{"award-number":["2020XXX009"]}]},{"name":"Shanxi Provincial Special Project of Scientific and Technological Cooperation and Exchange","award":["202104041101031"],"award-info":[{"award-number":["202104041101031"]}]},{"name":"Shanxi Provincial Special Project of Scientific and Technological Cooperation and Exchange","award":["20220028"],"award-info":[{"award-number":["20220028"]}]},{"name":"Fund Program for the Scientific Activities of Selected Returned Research Professionals in Shanxi Province","award":["2018YFB1308700"],"award-info":[{"award-number":["2018YFB1308700"]}]},{"name":"Fund Program for the Scientific Activities of Selected Returned Research Professionals in Shanxi Province","award":["2020XXX009"],"award-info":[{"award-number":["2020XXX009"]}]},{"name":"Fund Program for the Scientific Activities of Selected Returned Research Professionals in Shanxi Province","award":["202104041101031"],"award-info":[{"award-number":["202104041101031"]}]},{"name":"Fund Program for the Scientific Activities of Selected Returned Research Professionals in Shanxi Province","award":["20220028"],"award-info":[{"award-number":["20220028"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Aiming at the realization of fast and high-precision detection of the workpiece, an adaptive bidirectional gray-scale center of gravity extraction algorithm for laser stripes is proposed in this paper. The algorithm is processed in the following steps. Firstly, the initial image processing area is set according to the floating field of the camera\u2019s light stripe, followed by setting the adaptive image processing area according to the actual position of the light stripe. Secondly, the center of light stripe is obtained by using the method of combining the upper contour with the barycenter of the bidirectional gray-scale. The obtained center of the light stripe is optimized by reducing the deviation from adjacent center points. Finally, the slope and intercept are used to complete the breakpoint. The experimental results show that the algorithm has the advantages of high speed and precision and has specific adaptability to the laser stripes of the complex environment. Compared with other conventional algorithms, it greatly improves and can be used in industrial detection.<\/jats:p>","DOI":"10.3390\/s22249567","type":"journal-article","created":{"date-parts":[[2022,12,7]],"date-time":"2022-12-07T05:50:52Z","timestamp":1670392252000},"page":"9567","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Adaptive Bidirectional Gray-Scale Center of Gravity Extraction Algorithm of Laser Stripes"],"prefix":"10.3390","volume":"22","author":[{"given":"Miaomiao","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Mechanical Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhengnan","family":"Li","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fuquan","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lidong","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,12,7]]},"reference":[{"key":"ref_1","first-page":"124","article-title":"Line structure cursor calibration based on 2D planar targets","volume":"41","author":"Yu","year":"2020","journal-title":"Chin. J. Sci. Instrum."},{"key":"ref_2","first-page":"13","article-title":"A Review on The Central Extraction of Linear Structured Optical Strips","volume":"50","author":"Li","year":"2013","journal-title":"Laser Optoelectron. Prog."},{"key":"ref_3","first-page":"336","article-title":"Dual-frequency curve fitting line structure light fringe center extraction method","volume":"57","author":"Wu","year":"2020","journal-title":"Laser Optoelectron. Prog."},{"key":"ref_4","first-page":"196","article-title":"Linear structure light stripe center extraction method","volume":"58","author":"Hu","year":"2021","journal-title":"Laser Optoelectron. Prog."},{"key":"ref_5","first-page":"226","article-title":"Laser stripe centerline extraction method in dynamic environment","volume":"29","author":"Zhang","year":"2021","journal-title":"Comput. Meas. Control"},{"key":"ref_6","first-page":"175","article-title":"Extraction method based on Gaussian-Lorentz peak fitting of the center of a line structure light strip","volume":"56","author":"Li","year":"2019","journal-title":"Laser Optoelectron. Prog."},{"key":"ref_7","first-page":"309","article-title":"Line structure light centerline extraction method based on quadratic smoothing algorithm","volume":"57","author":"Yang","year":"2020","journal-title":"Laser Optoelectron. Prog."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"046104","DOI":"10.1117\/1.OE.60.4.046104","article-title":"Extraction and segmentation method of laser stripe in linear structured light scanner","volume":"60","author":"Wan","year":"2021","journal-title":"Opt. Eng."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"065002","DOI":"10.1088\/1361-6501\/abd57b","article-title":"Robust laser stripe extraction for 3D measurement of complex objects","volume":"32","author":"He","year":"2021","journal-title":"Meas. Sci. Technol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"072045","DOI":"10.1088\/1757-899X\/768\/7\/072045","article-title":"Sub-pixel Center Extraction Method for Line structured Light Stripe","volume":"768","author":"Liu","year":"2020","journal-title":"IOP Conf. Ser. Mater. Sci. Eng."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"298","DOI":"10.1007\/s42452-021-04309-w","article-title":"Research on laser stripe characteristics and center extraction algorithm for desktop laser scanner","volume":"3","author":"Shi","year":"2021","journal-title":"SN Appl. Sci."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Li, Y.H., Zhou, J.B., Huang, F.S., and Liu, L.J. (2017). Sub-Pixel Extraction of Laser Stripe Center Using an Improved Gray-Gravity Method. Sensors, 17.","DOI":"10.3390\/s17040814"},{"key":"ref_13","first-page":"350","article-title":"Linear structured light fringe center subpixel adaptive extraction algorithm","volume":"45","author":"Wang","year":"2021","journal-title":"Laser Technol."},{"key":"ref_14","first-page":"586","article-title":"A Robust Method for Adaptive Center Extraction of Linear Structured Light Stripe","volume":"37","author":"Lu","year":"2020","journal-title":"Trans. Nanjing Univ. Aeronaut. Astronaut."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"163816","DOI":"10.1016\/j.ijleo.2019.163816","article-title":"Improving the extracting precision of stripe center for structured light measurement","volume":"207","author":"Zhang","year":"2020","journal-title":"Optik"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Gao, H.P., and Xu, G.L. (2021). Robust Analysis and Laser Stripe Center Extraction for Rail Images. Appl. Sci., 11.","DOI":"10.3390\/app11052038"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"575","DOI":"10.3993\/jfbim00126","article-title":"Extraction Center Pixel Coordinates from Human Body Laser Stripe Image with Bezier Curve Fitting Method","volume":"8","author":"Wang","year":"2015","journal-title":"J. Fiber Bioeng. Inform."},{"key":"ref_18","first-page":"175","article-title":"Laser Stripe Center Extraction Method of Rail Profile in Train-Running Environment","volume":"39","author":"Wang","year":"2019","journal-title":"Acta Opt. Sin."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"110837","DOI":"10.1016\/j.measurement.2022.110837","article-title":"Three-dimensional measurement of precise shaft parts based on line structured light and deep learning","volume":"191","author":"Yang","year":"2022","journal-title":"Measurement"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"86","DOI":"10.5768\/JAO202142.0102006","article-title":"Adaptive center extraction method for stripes on the reflective surface of nuclear fuel rods","volume":"42","author":"Chen","year":"2021","journal-title":"J. Appl. Opt."},{"key":"ref_21","first-page":"186","article-title":"Structured light bar center extraction based on BP neural network","volume":"39","author":"Li","year":"2019","journal-title":"Acta Opt. Sin."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"111022","DOI":"10.1016\/j.measurement.2022.111022","article-title":"Real-time uncertainty estimation of stripe center extraction results using adaptive BP neural network","volume":"194","author":"Zhou","year":"2022","journal-title":"Measurement"},{"key":"ref_23","first-page":"172","article-title":"Structured light fringe center extraction method in complex interference situations","volume":"47","author":"Zhou","year":"2020","journal-title":"Chin. J. Lasers"},{"key":"ref_24","first-page":"85","article-title":"Improved adaptive light fringe center extraction of the Steger algorithm","volume":"39","author":"Nan","year":"2018","journal-title":"Laser J."},{"key":"ref_25","first-page":"814","article-title":"Block-matched laser stripe subpixel center extraction","volume":"51","author":"Pan","year":"2021","journal-title":"Laser Infrared"},{"key":"ref_26","first-page":"192","article-title":"Linear laser strip center fast extraction algorithm","volume":"47","author":"Li","year":"2020","journal-title":"Chin. J. Lasers"},{"key":"ref_27","first-page":"105","article-title":"The extraction algorithm is advanced internally in the center of the line laser strip","volume":"48","author":"Li","year":"2021","journal-title":"Chin. J. Lasers"},{"key":"ref_28","first-page":"202","article-title":"Laser fringe center extraction based on cross-correlation algorithm","volume":"40","author":"Liu","year":"2013","journal-title":"Chin. J. Lasers"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"107058","DOI":"10.1016\/j.optlaseng.2022.107058","article-title":"A novel method to correct the bias of curvilinear light stripe center","volume":"155","author":"Liu","year":"2022","journal-title":"Opt. Lasers Eng."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Zhang, X.H., Liu, J., and Xu, Y.Y. (2020). Center extraction for non-uniform line structured light stripe with wide view field. MIPPR 2019: Automatic Target Recognition and Navigation, SPIE.","DOI":"10.1117\/12.2538041"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/24\/9567\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:35:34Z","timestamp":1760146534000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/24\/9567"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,7]]},"references-count":30,"journal-issue":{"issue":"24","published-online":{"date-parts":[[2022,12]]}},"alternative-id":["s22249567"],"URL":"https:\/\/doi.org\/10.3390\/s22249567","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,7]]}}}