V. Kumar, K. Irick, Ahmed Al-Maashri, N. Vijaykrishnan
{"title":"A Scalable Bandwidth Aware Architecture for Connected Component Labeling","authors":"V. Kumar, K. Irick, Ahmed Al-Maashri, N. Vijaykrishnan","doi":"10.1109/ISVLSI.2010.89","DOIUrl":null,"url":null,"abstract":"Recent literature on fast realizations of Connected Component Labeling has proposed single-pass algorithms and architectures that are particularly suited to hardware implementation. These architectures, however, impose input constraints unsuitable for real-time systems that have diverse interface specifications and bandwidth considerations. In this paper we present a streaming Connected Component Labeling architecture that includes a scalable processor that can be tuned to match the I/O bandwidth available in modern embedded computing platforms.","PeriodicalId":187530,"journal":{"name":"2010 IEEE Computer Society Annual Symposium on VLSI","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Computer Society Annual Symposium on VLSI","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISVLSI.2010.89","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 19
Abstract
Recent literature on fast realizations of Connected Component Labeling has proposed single-pass algorithms and architectures that are particularly suited to hardware implementation. These architectures, however, impose input constraints unsuitable for real-time systems that have diverse interface specifications and bandwidth considerations. In this paper we present a streaming Connected Component Labeling architecture that includes a scalable processor that can be tuned to match the I/O bandwidth available in modern embedded computing platforms.