{"title":"基于曲率估计的曲线特征检测","authors":"L. O'Gorman","doi":"10.1109/ICPR.1988.28457","DOIUrl":null,"url":null,"abstract":"The DOS/sup +/ method, a particular case of the difference of slopes (DOS) approach, is shown to be effective for estimating curvature in terms of signal detectability. Relationships are established between the DOS/sup +/ parameters and feature parameters to distinguish corner and curve features and to accurately determine the locations of corners, transitions between straight lines and curves, and curve centers. Examples show the results of this method applied to curvilinear features and diagrams.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"37","resultStr":"{\"title\":\"Curvilinear feature detection from curvature estimation\",\"authors\":\"L. O'Gorman\",\"doi\":\"10.1109/ICPR.1988.28457\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The DOS/sup +/ method, a particular case of the difference of slopes (DOS) approach, is shown to be effective for estimating curvature in terms of signal detectability. Relationships are established between the DOS/sup +/ parameters and feature parameters to distinguish corner and curve features and to accurately determine the locations of corners, transitions between straight lines and curves, and curve centers. Examples show the results of this method applied to curvilinear features and diagrams.<<ETX>>\",\"PeriodicalId\":314236,\"journal\":{\"name\":\"[1988 Proceedings] 9th International Conference on Pattern Recognition\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"37\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1988 Proceedings] 9th International Conference on Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPR.1988.28457\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1988 Proceedings] 9th International Conference on Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPR.1988.28457","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Curvilinear feature detection from curvature estimation
The DOS/sup +/ method, a particular case of the difference of slopes (DOS) approach, is shown to be effective for estimating curvature in terms of signal detectability. Relationships are established between the DOS/sup +/ parameters and feature parameters to distinguish corner and curve features and to accurately determine the locations of corners, transitions between straight lines and curves, and curve centers. Examples show the results of this method applied to curvilinear features and diagrams.<>
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