{"title":"线提取与复合背景减去","authors":"H. Deng, X. Tian, K. Yamazaki, M. Mori","doi":"10.1109/CRV.2006.47","DOIUrl":null,"url":null,"abstract":"This paper presents a line extraction method to process images taken inside a machine tool. Instead of using real background images, our approach utilizes a virtual background image. This approach solves the problem of absence of real background images due to a dynamic background. In order to only extract lines of the object, all corners are detected from the real image first. Then, those corners generated from the background are filtered through composite background subtraction. Afterwards, a hypothesis of a line exists between any two corners is made. All the hypothetical lines are mapped back to the original real image to test for their existence. Those lines caused by noises, such as reflections or scratches, can be then eliminated. Our experimental results prove the feasibility and effectiveness of this proposed method..","PeriodicalId":369170,"journal":{"name":"The 3rd Canadian Conference on Computer and Robot Vision (CRV'06)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Line Extraction with Composite Background Subtract\",\"authors\":\"H. Deng, X. Tian, K. Yamazaki, M. Mori\",\"doi\":\"10.1109/CRV.2006.47\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a line extraction method to process images taken inside a machine tool. Instead of using real background images, our approach utilizes a virtual background image. This approach solves the problem of absence of real background images due to a dynamic background. In order to only extract lines of the object, all corners are detected from the real image first. Then, those corners generated from the background are filtered through composite background subtraction. Afterwards, a hypothesis of a line exists between any two corners is made. All the hypothetical lines are mapped back to the original real image to test for their existence. Those lines caused by noises, such as reflections or scratches, can be then eliminated. Our experimental results prove the feasibility and effectiveness of this proposed method..\",\"PeriodicalId\":369170,\"journal\":{\"name\":\"The 3rd Canadian Conference on Computer and Robot Vision (CRV'06)\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-06-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 3rd Canadian Conference on Computer and Robot Vision (CRV'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CRV.2006.47\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 3rd Canadian Conference on Computer and Robot Vision (CRV'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CRV.2006.47","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Line Extraction with Composite Background Subtract
This paper presents a line extraction method to process images taken inside a machine tool. Instead of using real background images, our approach utilizes a virtual background image. This approach solves the problem of absence of real background images due to a dynamic background. In order to only extract lines of the object, all corners are detected from the real image first. Then, those corners generated from the background are filtered through composite background subtraction. Afterwards, a hypothesis of a line exists between any two corners is made. All the hypothetical lines are mapped back to the original real image to test for their existence. Those lines caused by noises, such as reflections or scratches, can be then eliminated. Our experimental results prove the feasibility and effectiveness of this proposed method..