{"title":"Research on Edge Tracing Based on Scan-Line Algorithm","authors":"Weihua Wang","doi":"10.1109/WKDD.2009.86","DOIUrl":null,"url":null,"abstract":"automated vehicle recognition is of great importance today in Intelligent Transportation Systems. In the process of the feature extraction of vehicle recognition system, the edge vector must be extracted first. However, there are many regions in an image, and it is difficult to extract the edge vectors of the regions of the image. Therefore a novel edge tracing method based on scan-line of image for vehicle recognition tasks is proposed. In particular, all of the edge vectors are extracted from the regions of the image at the same time. Experimental results are presented that show a short time in computation can be achieved.","PeriodicalId":143250,"journal":{"name":"2009 Second International Workshop on Knowledge Discovery and Data Mining","volume":"124 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Second International Workshop on Knowledge Discovery and Data Mining","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WKDD.2009.86","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
automated vehicle recognition is of great importance today in Intelligent Transportation Systems. In the process of the feature extraction of vehicle recognition system, the edge vector must be extracted first. However, there are many regions in an image, and it is difficult to extract the edge vectors of the regions of the image. Therefore a novel edge tracing method based on scan-line of image for vehicle recognition tasks is proposed. In particular, all of the edge vectors are extracted from the regions of the image at the same time. Experimental results are presented that show a short time in computation can be achieved.