{"title":"车轮识别采用机器视觉技术","authors":"B. Shabestari, J.W.V. Miller, V. Wedding","doi":"10.1109/ICSYSE.1991.161131","DOIUrl":null,"url":null,"abstract":"An application of an online vision system using statistical pattern recognition algorithms for identifying various polycast wheels is described. The recognition is independent of part orientation and position in camera field of view. Simplicity, efficiency, low cost, and easy training for new designs are important criteria of the system. Software and algorithms to locate the wheel, exclude the windows of the wheel, and extract features which are used for classification are developed. The results indicate a constraint-free system with real-time recognition rate and considerable increase in recognition accuracy.<<ETX>>","PeriodicalId":250037,"journal":{"name":"IEEE 1991 International Conference on Systems Engineering","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Wheels identification using machine vision technology\",\"authors\":\"B. Shabestari, J.W.V. Miller, V. Wedding\",\"doi\":\"10.1109/ICSYSE.1991.161131\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An application of an online vision system using statistical pattern recognition algorithms for identifying various polycast wheels is described. The recognition is independent of part orientation and position in camera field of view. Simplicity, efficiency, low cost, and easy training for new designs are important criteria of the system. Software and algorithms to locate the wheel, exclude the windows of the wheel, and extract features which are used for classification are developed. The results indicate a constraint-free system with real-time recognition rate and considerable increase in recognition accuracy.<<ETX>>\",\"PeriodicalId\":250037,\"journal\":{\"name\":\"IEEE 1991 International Conference on Systems Engineering\",\"volume\":\"82 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE 1991 International Conference on Systems Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSYSE.1991.161131\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE 1991 International Conference on Systems Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSYSE.1991.161131","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Wheels identification using machine vision technology
An application of an online vision system using statistical pattern recognition algorithms for identifying various polycast wheels is described. The recognition is independent of part orientation and position in camera field of view. Simplicity, efficiency, low cost, and easy training for new designs are important criteria of the system. Software and algorithms to locate the wheel, exclude the windows of the wheel, and extract features which are used for classification are developed. The results indicate a constraint-free system with real-time recognition rate and considerable increase in recognition accuracy.<>
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