{"title":"计算机图形图像技术在磨损颗粒识别中的应用","authors":"Xianzhong Tian, Tongsen Hu","doi":"10.1109/ICNNSP.2003.1280757","DOIUrl":null,"url":null,"abstract":"Wear particles are important information carriers which reflect the state of equipment inner abrasion. This paper discusses some applications of recognition of wear particles by computer graphics-image technology. Particularly we introduce ferrography image color model, ferrography image enhancement, and analyze some characteristics of wear particle in shape, texture and color.","PeriodicalId":336216,"journal":{"name":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","volume":"127 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Applications of computer graphics-image technology to recognition of wear particles\",\"authors\":\"Xianzhong Tian, Tongsen Hu\",\"doi\":\"10.1109/ICNNSP.2003.1280757\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wear particles are important information carriers which reflect the state of equipment inner abrasion. This paper discusses some applications of recognition of wear particles by computer graphics-image technology. Particularly we introduce ferrography image color model, ferrography image enhancement, and analyze some characteristics of wear particle in shape, texture and color.\",\"PeriodicalId\":336216,\"journal\":{\"name\":\"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003\",\"volume\":\"127 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\":\"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNNSP.2003.1280757\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNNSP.2003.1280757","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Applications of computer graphics-image technology to recognition of wear particles
Wear particles are important information carriers which reflect the state of equipment inner abrasion. This paper discusses some applications of recognition of wear particles by computer graphics-image technology. Particularly we introduce ferrography image color model, ferrography image enhancement, and analyze some characteristics of wear particle in shape, texture and color.