{"title":"Optimised single pass connected components analysis","authors":"Ni Ma, D. Bailey, C. T. Johnston","doi":"10.1109/FPT.2008.4762382","DOIUrl":null,"url":null,"abstract":"Classical connected components labelling algorithms are unsuitable for real-time processing of streamed images on an FPGA because they require two passes through the image. Recently, a single-pass algorithm was proposed that avoided the need to buffer an intermediate image. In this paper, a new single pass algorithm is described that is a considerable improvement over the existing algorithms. The new algorithm reassigns and reuses labels each row to minimise the size of both the equivalence and region data tables. The optimised single-pass algorithm reduces the worst case memory requirement by over 100 times that of the original algorithm (for measuring region area), and reduces the latency to only 1 row.","PeriodicalId":320925,"journal":{"name":"2008 International Conference on Field-Programmable Technology","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"82","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Conference on Field-Programmable Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FPT.2008.4762382","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 82
Abstract
Classical connected components labelling algorithms are unsuitable for real-time processing of streamed images on an FPGA because they require two passes through the image. Recently, a single-pass algorithm was proposed that avoided the need to buffer an intermediate image. In this paper, a new single pass algorithm is described that is a considerable improvement over the existing algorithms. The new algorithm reassigns and reuses labels each row to minimise the size of both the equivalence and region data tables. The optimised single-pass algorithm reduces the worst case memory requirement by over 100 times that of the original algorithm (for measuring region area), and reduces the latency to only 1 row.