Sergio Vera, Frederic Pérez, Laura Lara, Miguel Á. González
{"title":"具有迟滞的阈值","authors":"Sergio Vera, Frederic Pérez, Laura Lara, Miguel Á. González","doi":"10.54294/u9p515","DOIUrl":null,"url":null,"abstract":"Thresholding is perhaps one of the most basic techniques in image processing. The Insight Toolkit (ITK) includes several threshold filters ranging from simple ones to Otsu based thresholding. Deep into the implementation of the Canny edge detection filter, ITK includes an implementation of hysteresis thresholding, but unfortunately this method can not be used as a generic filter. This paper presents an implementation of the hysteresis thresholding filter that can be used as a standalone ITK filter.","PeriodicalId":89491,"journal":{"name":"The insight journal","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2011-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Threshold with Hysteresis\",\"authors\":\"Sergio Vera, Frederic Pérez, Laura Lara, Miguel Á. González\",\"doi\":\"10.54294/u9p515\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Thresholding is perhaps one of the most basic techniques in image processing. The Insight Toolkit (ITK) includes several threshold filters ranging from simple ones to Otsu based thresholding. Deep into the implementation of the Canny edge detection filter, ITK includes an implementation of hysteresis thresholding, but unfortunately this method can not be used as a generic filter. This paper presents an implementation of the hysteresis thresholding filter that can be used as a standalone ITK filter.\",\"PeriodicalId\":89491,\"journal\":{\"name\":\"The insight journal\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The insight journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.54294/u9p515\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The insight journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54294/u9p515","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Thresholding is perhaps one of the most basic techniques in image processing. The Insight Toolkit (ITK) includes several threshold filters ranging from simple ones to Otsu based thresholding. Deep into the implementation of the Canny edge detection filter, ITK includes an implementation of hysteresis thresholding, but unfortunately this method can not be used as a generic filter. This paper presents an implementation of the hysteresis thresholding filter that can be used as a standalone ITK filter.
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