{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T17:53:01Z","timestamp":1777657981800,"version":"3.51.4"},"reference-count":68,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2021,6,28]],"date-time":"2021-06-28T00:00:00Z","timestamp":1624838400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>In this study, the burr and slot widths formed after the micro-milling process of Inconel 718 alloy were investigated using a rapid and accurate image processing method. The measurements were obtained using a user-defined subroutine for image processing. To determine the accuracy of the developed imaging process technique, the automated measurement results were compared against results measured using a manual measurement method. For the cutting experiments, Inconel 718 alloy was machined using several cutting tools with different geometry, such as the helix angle, axial rake angle, and number of cutting edges. The images of the burr and slots were captured using a scanning electron microscope (SEM). The captured images were processed with computer vision software, which was written in C++ programming language and open-sourced computer library (Open CV). According to the results, it was determined that there is a good correlation between automated and manual measurements of slot and burr widths. The accuracy of the proposed method is above 91%, 98%, and 99% for up milling, down milling, and slot measurements, respectively. The conducted study offers a user-friendly, fast, and accurate solution using computer vision (CV) technology by requiring only one SEM image as input to characterize slot and burr formation.<\/jats:p>","DOI":"10.3390\/s21134432","type":"journal-article","created":{"date-parts":[[2021,6,28]],"date-time":"2021-06-28T13:39:22Z","timestamp":1624887562000},"page":"4432","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":42,"title":["Measurement of Micro Burr and Slot Widths through Image Processing: Comparison of Manual and Automated Measurements in Micro-Milling"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1432-8926","authenticated-orcid":false,"given":"Fatih","family":"Akkoyun","sequence":"first","affiliation":[{"name":"Department of Mechanical Engineering, Faculty of Engineering, Adnan Menderes University, Ayd\u0131n 09010, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7631-1361","authenticated-orcid":false,"given":"Ali","family":"Ercetin","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Faculty of Engineering and Architecture, Bingol University, Bingol 12000, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4558-4516","authenticated-orcid":false,"given":"Kubilay","family":"Aslantas","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Faculty of Technology, Afyon Kocatepe University, Afyonkarahisar 03200, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5568-8928","authenticated-orcid":false,"given":"Danil Yurievich","family":"Pimenov","sequence":"additional","affiliation":[{"name":"Department of Automated Mechanical Engineering, South Ural State University, Lenin Prosp. 76, 454080 Chelyabinsk, Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3992-8602","authenticated-orcid":false,"given":"Khaled","family":"Giasin","sequence":"additional","affiliation":[{"name":"School of Mechanical and Design Engineering, University of Portsmouth, Portsmouth PO1 3DJ, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Avinash","family":"Lakshmikanthan","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Nitte Meenakshi Institute of Technology, Bengaluru 560064, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0733-919X","authenticated-orcid":false,"given":"Muhammad","family":"Aamir","sequence":"additional","affiliation":[{"name":"School of Engineering, Edith Cowan University, Joondalup, WA 6027, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,6,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"228","DOI":"10.1177\/0954405415572662","article-title":"Optimization of machining parameters during micro-milling of Ti6Al4V titanium alloy and Inconel 718 materials using Taguchi method","volume":"231","author":"Kuram","year":"2017","journal-title":"Proc. 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