{"title":"Study on automotive style recognition with the image erosion technology","authors":"You-bing Zhang, Kui Zhou","doi":"10.1109/CECNET.2011.5768715","DOIUrl":null,"url":null,"abstract":"This paper introduces a recognition method on “Many Different Kinds of Automotive Style on Robot Painting Line Recognition System”. This paper mainly uses the dynamically silhouetted image to confirm the outline of the real automotive style's motional sequence image, then uses the median filtering to eliminate a part of noise, then uses the image erosion technology to eliminate the structure noise. At last the automotive style's edge is detected. The dimension of automotive style is detected by the edge to accomplish the goal of recognizing automotive style. The results show that the recognition method based on the image erosion technology could enhance the anti-noise performance and improve the precision of the automotive style dimension.","PeriodicalId":375482,"journal":{"name":"2011 International Conference on Consumer Electronics, Communications and Networks (CECNet)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Consumer Electronics, Communications and Networks (CECNet)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CECNET.2011.5768715","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This paper introduces a recognition method on “Many Different Kinds of Automotive Style on Robot Painting Line Recognition System”. This paper mainly uses the dynamically silhouetted image to confirm the outline of the real automotive style's motional sequence image, then uses the median filtering to eliminate a part of noise, then uses the image erosion technology to eliminate the structure noise. At last the automotive style's edge is detected. The dimension of automotive style is detected by the edge to accomplish the goal of recognizing automotive style. The results show that the recognition method based on the image erosion technology could enhance the anti-noise performance and improve the precision of the automotive style dimension.