{"title":"单道连通分量分析的历史与发展","authors":"D. Bailey","doi":"10.1109/IVCNZ51579.2020.9290585","DOIUrl":null,"url":null,"abstract":"The techniques for single pass connected component analysis have undergone significant changes from their initial development to current state-of-the-art algorithms. This review traces the evolution of the algorithms, and explores the linkages and development of ideas introduced by various researchers. Three significant developments are: the recycling of labels to enable processing with resources proportional to the image width; reduction of overheads associated with label merging; and processing of multiple pixels in parallel. These are of particular interest to those developing high speed and low latency image processing and machine vision systems.","PeriodicalId":164317,"journal":{"name":"2020 35th International Conference on Image and Vision Computing New Zealand (IVCNZ)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"History and Evolution of Single Pass Connected Component Analysis\",\"authors\":\"D. Bailey\",\"doi\":\"10.1109/IVCNZ51579.2020.9290585\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The techniques for single pass connected component analysis have undergone significant changes from their initial development to current state-of-the-art algorithms. This review traces the evolution of the algorithms, and explores the linkages and development of ideas introduced by various researchers. Three significant developments are: the recycling of labels to enable processing with resources proportional to the image width; reduction of overheads associated with label merging; and processing of multiple pixels in parallel. These are of particular interest to those developing high speed and low latency image processing and machine vision systems.\",\"PeriodicalId\":164317,\"journal\":{\"name\":\"2020 35th International Conference on Image and Vision Computing New Zealand (IVCNZ)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 35th International Conference on Image and Vision Computing New Zealand (IVCNZ)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IVCNZ51579.2020.9290585\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 35th International Conference on Image and Vision Computing New Zealand (IVCNZ)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVCNZ51579.2020.9290585","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
History and Evolution of Single Pass Connected Component Analysis
The techniques for single pass connected component analysis have undergone significant changes from their initial development to current state-of-the-art algorithms. This review traces the evolution of the algorithms, and explores the linkages and development of ideas introduced by various researchers. Three significant developments are: the recycling of labels to enable processing with resources proportional to the image width; reduction of overheads associated with label merging; and processing of multiple pixels in parallel. These are of particular interest to those developing high speed and low latency image processing and machine vision systems.