{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,18]],"date-time":"2026-01-18T10:41:38Z","timestamp":1768732898081,"version":"3.49.0"},"reference-count":32,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T00:00:00Z","timestamp":1732665600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Key Research and Development Projects of Jilin Province\u2019s Science and Technology Development Pla","award":["20220201043GX"],"award-info":[{"award-number":["20220201043GX"]}]},{"name":"Key Research and Development Projects of Jilin Province\u2019s Science and Technology Development Pla","award":["2024LY501L08"],"award-info":[{"award-number":["2024LY501L08"]}]},{"name":"Jilin Provincial Department of Education Science and Technology Research Projects","award":["20220201043GX"],"award-info":[{"award-number":["20220201043GX"]}]},{"name":"Jilin Provincial Department of Education Science and Technology Research Projects","award":["2024LY501L08"],"award-info":[{"award-number":["2024LY501L08"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>The concentricity error of automotive brake piston components critically affects the stability and reliability of the brake system. Traditional contact-based concentricity measurement methods are inefficient. In order to address the issue of low detection efficiency, this paper proposes a non-contact concentricity measurement method based on the combination of machine vision and image processing technology. In this approach, an industrial camera is employed to capture images of the measured workpiece\u2019s end face from the top of the spring. The edge contours are extracted through the implementation of image preprocessing algorithms, which are then followed by the calculation of the outer circle center and the fitting of the inner circle center. Finally, the concentricity error is calculated based on the coordinates of the inner and outer circle centers. The experimental results demonstrate that, in comparison to a coordinate measuring machine (CMM), this method exhibits a maximum error of only 0.0393 mm and an average measurement time of 3.9 s. This technology markedly enhances the efficiency of measurement and fulfills the industry\u2019s requirement for automated inspection. The experiments confirmed the feasibility and effectiveness of this method in practical engineering applications, providing reliable technical support for the online inspection of automotive brake piston components. Moreover, this methodology can be extended to assess concentricity in other complex stepped shaft parts.<\/jats:p>","DOI":"10.3390\/sym16121584","type":"journal-article","created":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T07:18:42Z","timestamp":1732691922000},"page":"1584","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Machine Vision-Based Measurement Method for the Concentricity of Automotive Brake Piston Components"],"prefix":"10.3390","volume":"16","author":[{"given":"Weinan","family":"Ge","sequence":"first","affiliation":[{"name":"School of Mechanical Engineering, Changchun Guanghua University, Changchun 130033, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qinghua","family":"Li","sequence":"additional","affiliation":[{"name":"School of Mechanical and Vehicle Engineering, Changchun University, Changchun 130022, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wanting","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Mechanical and Vehicle Engineering, Changchun University, Changchun 130022, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tiantian","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Mechanical and Vehicle Engineering, Changchun University, Changchun 130022, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shihong","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Mechanical and Vehicle Engineering, Changchun University, Changchun 130022, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,11,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"106838","DOI":"10.1016\/j.measurement.2019.07.066","article-title":"A concentricity measurement method for large forgings based on laser ranging principle","volume":"147","author":"Zhang","year":"2019","journal-title":"Measurement"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"7006517","DOI":"10.1109\/TIM.2022.3198488","article-title":"An Effective Coaxiality Measurement for Twist Drill Based on Line Structured Light Sensor","volume":"71","author":"Cheng","year":"2022","journal-title":"IEEE Trans. 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