{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T07:55:34Z","timestamp":1774857334356,"version":"3.50.1"},"reference-count":22,"publisher":"SAGE Publications","issue":"15","license":[{"start":{"date-parts":[[2020,6,26]],"date-time":"2020-06-26T00:00:00Z","timestamp":1593129600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Transactions of the Institute of Measurement and Control"],"published-print":{"date-parts":[[2020,11]]},"abstract":"<jats:p> Foreign body detection is an important aspect that affects the quality of tobacco production. This paper describes a direct foreign body detection scheme using machine vision, which uses three cameras arranged around a tobacco bale to record its multiple surfaces and directly identify foreign bodies. In this study, color sorting table method (CSTM) was first used to identify and remove color-sensitive foreign bodies; thereafter, gray threshold method and double threshold method were used to further identify and remove foreign bodies with similar colors. The experimental results indicate that the multi-step hybrid identification method proposed herein can effectively identify and remove various foreign bodies in the production process of tobacco packs, with an accuracy rate of 97.8%, which meets the industrial requirements for foreign body detection. Compared with various existing devices and methods, it has the advantages of high detection efficiency and low cost. <\/jats:p>","DOI":"10.1177\/0142331220929816","type":"journal-article","created":{"date-parts":[[2020,6,26]],"date-time":"2020-06-26T08:07:14Z","timestamp":1593158834000},"page":"2857-2871","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":61,"title":["Research on tobacco foreign body detection device based on machine vision"],"prefix":"10.1177","volume":"42","author":[{"given":"Mi","family":"Chao","sequence":"first","affiliation":[{"name":"Container Supply Chain Technology Engineering Research Center, Ministry of Education, Shanghai Maritime University, PR China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4793-6418","authenticated-orcid":false,"given":"Chen","family":"Kai","sequence":"additional","affiliation":[{"name":"Logistic Engineering School, Shanghai Maritime University, PR China"}]},{"given":"Zhang","family":"Zhiwei","sequence":"additional","affiliation":[{"name":"Shanghai SMU Vision Smart Technology Ltd., PR China"}]}],"member":"179","published-online":{"date-parts":[[2020,6,26]]},"reference":[{"issue":"2","key":"bibr1-0142331220929816","first-page":"57","volume":"34","author":"Chen W","year":"2003","journal-title":"Industrial Instrumentation and Automation Device"},{"key":"bibr2-0142331220929816","first-page":"232","author":"Di W","year":"2009","journal-title":"Spectroscopy and Spectral Analysis"},{"issue":"6","key":"bibr3-0142331220929816","first-page":"979","volume":"23","author":"Li S","year":"2014","journal-title":"CT Theory and Application Research"},{"issue":"7","key":"bibr4-0142331220929816","first-page":"55","volume":"41","author":"Liu D","year":"2012","journal-title":"Mechanical Design and Manufacturing Engineering"},{"issue":"3","key":"bibr5-0142331220929816","first-page":"343350","volume":"17","author":"Liu H","year":"2009","journal-title":"Yingyong Jichu yu Gongcheng Kexue Xuebao\/Journal of Basic Science and Engineering"},{"key":"bibr6-0142331220929816","doi-asserted-by":"publisher","DOI":"10.1109\/ICADE.2012.6330105"},{"key":"bibr7-0142331220929816","first-page":"1","author":"Mei S","year":"2018","journal-title":"IEEE Transactions on Instrumentation and Measurement"},{"key":"bibr8-0142331220929816","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfoodeng.2019.109864"},{"issue":"3","key":"bibr9-0142331220929816","first-page":"162","volume":"27","author":"Quan Y","year":"2011","journal-title":"Nongye Gongcheng Xuebao\/Transactions of the Chinese Society of Agricultural Engineering"},{"issue":"2","key":"bibr10-0142331220929816","first-page":"13","volume":"41","author":"Tang X","year":"2004","journal-title":"Tobacco Science and Technology"},{"key":"bibr11-0142331220929816","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2018.06.022"},{"key":"bibr12-0142331220929816","doi-asserted-by":"publisher","DOI":"10.3390\/s19051144"},{"issue":"8","key":"bibr13-0142331220929816","first-page":"82","author":"Ya M","year":"2015","journal-title":"Tobacco Science and Technology"},{"key":"bibr14-0142331220929816","first-page":"11","author":"Yan RQ","year":"2001","journal-title":"Tobacco Science & Technology"},{"issue":"3","key":"bibr15-0142331220929816","author":"Yang K","year":"2017","journal-title":"Prospect of Science and Technology"},{"key":"bibr16-0142331220929816","unstructured":"Yao F (2011) Research on key technologies of intelligent high-speed online foreign object recognition and sorting. 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