{"title":"基于Hough和改进Radon变换的多目标姿态识别方法","authors":"Xiuqin Su, Tao Lu, Jiali Liang","doi":"10.1109/ICALIP.2008.4590087","DOIUrl":null,"url":null,"abstract":"Traditional Hough transform can not locate the accurate position of line segments. It is too complex in practical liner target detection based on improved Radon. Both transforms is used associated in this paper in order to recognize the attitude of multi-targets as line segments accurately with an acceptable complexity in calculation. A new method called fast approaching algorithm using changing pace nonius length is also presented to determine the scale of targets quickly. Self-adaptive precision is also used in the processing.","PeriodicalId":175885,"journal":{"name":"2008 International Conference on Audio, Language and Image Processing","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Multi-targets attitude recognition method based on Hough and improved Radon transform\",\"authors\":\"Xiuqin Su, Tao Lu, Jiali Liang\",\"doi\":\"10.1109/ICALIP.2008.4590087\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Traditional Hough transform can not locate the accurate position of line segments. It is too complex in practical liner target detection based on improved Radon. Both transforms is used associated in this paper in order to recognize the attitude of multi-targets as line segments accurately with an acceptable complexity in calculation. A new method called fast approaching algorithm using changing pace nonius length is also presented to determine the scale of targets quickly. Self-adaptive precision is also used in the processing.\",\"PeriodicalId\":175885,\"journal\":{\"name\":\"2008 International Conference on Audio, Language and Image Processing\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-07-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 International Conference on Audio, Language and Image Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICALIP.2008.4590087\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Conference on Audio, Language and Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICALIP.2008.4590087","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-targets attitude recognition method based on Hough and improved Radon transform
Traditional Hough transform can not locate the accurate position of line segments. It is too complex in practical liner target detection based on improved Radon. Both transforms is used associated in this paper in order to recognize the attitude of multi-targets as line segments accurately with an acceptable complexity in calculation. A new method called fast approaching algorithm using changing pace nonius length is also presented to determine the scale of targets quickly. Self-adaptive precision is also used in the processing.