{"title":"基于分割图像处理技术的发动机缸壁表面缺陷检测","authors":"L. Han, Xiaofeng Yue, Jun Yu","doi":"10.1109/IVEC.1999.830679","DOIUrl":null,"url":null,"abstract":"A regression formula has been developed for dividing the surface image obtained from an engine cylinder wall. By applying the formula, segmentation error can be minimized. The error, which results from the separation of the cylinder wall image, will lead to a potential loss of precision when the surface images of the cylinder wall are processed. By using the segmental image processing method, the experimental results show that the formula is correct and the technique is reliable.","PeriodicalId":191336,"journal":{"name":"Proceedings of the IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Inspection of surface defects on engine cylinder wall using segmentation image processing technique\",\"authors\":\"L. Han, Xiaofeng Yue, Jun Yu\",\"doi\":\"10.1109/IVEC.1999.830679\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A regression formula has been developed for dividing the surface image obtained from an engine cylinder wall. By applying the formula, segmentation error can be minimized. The error, which results from the separation of the cylinder wall image, will lead to a potential loss of precision when the surface images of the cylinder wall are processed. By using the segmental image processing method, the experimental results show that the formula is correct and the technique is reliable.\",\"PeriodicalId\":191336,\"journal\":{\"name\":\"Proceedings of the IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257)\",\"volume\":\"53 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-09-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IVEC.1999.830679\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVEC.1999.830679","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Inspection of surface defects on engine cylinder wall using segmentation image processing technique
A regression formula has been developed for dividing the surface image obtained from an engine cylinder wall. By applying the formula, segmentation error can be minimized. The error, which results from the separation of the cylinder wall image, will lead to a potential loss of precision when the surface images of the cylinder wall are processed. By using the segmental image processing method, the experimental results show that the formula is correct and the technique is reliable.