{"title":"一种改进的方向曲线推断方法","authors":"Xiao-fang Shao, Ling-wei Ye, Xin Zhang, M. Cai","doi":"10.1109/ICSSEM.2012.6340756","DOIUrl":null,"url":null,"abstract":"In this paper we propose an improved method to search curves in pre-processed images. Given an image that has been binarized and thinned to single-pixel representations, the method performs a clockwise or anti-clockwise neighborhood searching process which takes into account the turning angle of the pixels on a certain curve. At last the method is tested on several real images and compared with the original method.","PeriodicalId":115037,"journal":{"name":"2012 3rd International Conference on System Science, Engineering Design and Manufacturing Informatization","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An improved directional curve inference method\",\"authors\":\"Xiao-fang Shao, Ling-wei Ye, Xin Zhang, M. Cai\",\"doi\":\"10.1109/ICSSEM.2012.6340756\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we propose an improved method to search curves in pre-processed images. Given an image that has been binarized and thinned to single-pixel representations, the method performs a clockwise or anti-clockwise neighborhood searching process which takes into account the turning angle of the pixels on a certain curve. At last the method is tested on several real images and compared with the original method.\",\"PeriodicalId\":115037,\"journal\":{\"name\":\"2012 3rd International Conference on System Science, Engineering Design and Manufacturing Informatization\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 3rd International Conference on System Science, Engineering Design and Manufacturing Informatization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSSEM.2012.6340756\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 3rd International Conference on System Science, Engineering Design and Manufacturing Informatization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSEM.2012.6340756","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper we propose an improved method to search curves in pre-processed images. Given an image that has been binarized and thinned to single-pixel representations, the method performs a clockwise or anti-clockwise neighborhood searching process which takes into account the turning angle of the pixels on a certain curve. At last the method is tested on several real images and compared with the original method.