{"title":"基于形态学的PET瓶口检测方法","authors":"Z. Lv, Liqun Lin, Taisong Jin, Yuan Li","doi":"10.1109/CSO.2010.211","DOIUrl":null,"url":null,"abstract":"During the production of PET bottles, we must detect the roundness and flaws of the bottle mouth in order to prolong the guarantee period of the drink. After obtaining the images from the product line, we used both common and morphologic method to denoise. Then we extracted the region of interest by enhancing the contrast and binary. We scan from the horizontal and vertical direction to form a grid. And Scan from another two perpendicular axes to form a new grid. We located the centre of the bottle mouth and check whether it is round enough by these multi-direction grids. At last, we used radial scanning to detect the scratches. We calculated the points in each of the sweep intervals and recognized the scratches by choosing a reasonable threshold. Comparing to the core method and Hough Transform method [1], the method to locate the centre of the round is simpler and faster. And we can check the roundness and detect the flaws efficiently. In experiments, we can detect the scratch in size of 0.15mm which can meet the demand of the industrial production.","PeriodicalId":427481,"journal":{"name":"2010 Third International Joint Conference on Computational Science and Optimization","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A PET Bottle Mouth Detection Method Based on Morphologic\",\"authors\":\"Z. Lv, Liqun Lin, Taisong Jin, Yuan Li\",\"doi\":\"10.1109/CSO.2010.211\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"During the production of PET bottles, we must detect the roundness and flaws of the bottle mouth in order to prolong the guarantee period of the drink. After obtaining the images from the product line, we used both common and morphologic method to denoise. Then we extracted the region of interest by enhancing the contrast and binary. We scan from the horizontal and vertical direction to form a grid. And Scan from another two perpendicular axes to form a new grid. We located the centre of the bottle mouth and check whether it is round enough by these multi-direction grids. At last, we used radial scanning to detect the scratches. We calculated the points in each of the sweep intervals and recognized the scratches by choosing a reasonable threshold. Comparing to the core method and Hough Transform method [1], the method to locate the centre of the round is simpler and faster. And we can check the roundness and detect the flaws efficiently. In experiments, we can detect the scratch in size of 0.15mm which can meet the demand of the industrial production.\",\"PeriodicalId\":427481,\"journal\":{\"name\":\"2010 Third International Joint Conference on Computational Science and Optimization\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Third International Joint Conference on Computational Science and Optimization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSO.2010.211\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Third International Joint Conference on Computational Science and Optimization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSO.2010.211","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A PET Bottle Mouth Detection Method Based on Morphologic
During the production of PET bottles, we must detect the roundness and flaws of the bottle mouth in order to prolong the guarantee period of the drink. After obtaining the images from the product line, we used both common and morphologic method to denoise. Then we extracted the region of interest by enhancing the contrast and binary. We scan from the horizontal and vertical direction to form a grid. And Scan from another two perpendicular axes to form a new grid. We located the centre of the bottle mouth and check whether it is round enough by these multi-direction grids. At last, we used radial scanning to detect the scratches. We calculated the points in each of the sweep intervals and recognized the scratches by choosing a reasonable threshold. Comparing to the core method and Hough Transform method [1], the method to locate the centre of the round is simpler and faster. And we can check the roundness and detect the flaws efficiently. In experiments, we can detect the scratch in size of 0.15mm which can meet the demand of the industrial production.