Yongsoo Jang, Soon‐Geul Lee, D. Cha, Je-Hyung Moon
{"title":"Estimating the position of parts of an automobile cowl cross bar assembly using CCD camera","authors":"Yongsoo Jang, Soon‐Geul Lee, D. Cha, Je-Hyung Moon","doi":"10.1109/ISOT.2009.5326130","DOIUrl":null,"url":null,"abstract":"This paper realized an inspection system of the cowl cross assembly which is an automotive part using single CCD camera. Edge is extracted by Sobel operator after improving image quality with homomorphic filter. The unnecessary segments and the unnecessary edge elements are removed from the obtained edge image by labeling. The accurate center of the merged segment can be estimated using RHT (Randomized Hough Transform). Existence of defect can be decided by comparing the CAD information of the cowl cross assembly with the estimated center position. Efficiency of the proposed method was proven by accurate inspection result for various target images at the poor environment such as the real industrial field","PeriodicalId":366216,"journal":{"name":"2009 International Symposium on Optomechatronic Technologies","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Symposium on Optomechatronic Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISOT.2009.5326130","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper realized an inspection system of the cowl cross assembly which is an automotive part using single CCD camera. Edge is extracted by Sobel operator after improving image quality with homomorphic filter. The unnecessary segments and the unnecessary edge elements are removed from the obtained edge image by labeling. The accurate center of the merged segment can be estimated using RHT (Randomized Hough Transform). Existence of defect can be decided by comparing the CAD information of the cowl cross assembly with the estimated center position. Efficiency of the proposed method was proven by accurate inspection result for various target images at the poor environment such as the real industrial field