{"title":"基于傅里叶的图像各向异性尺度参数恢复","authors":"R. González","doi":"10.1109/ICSPCS.2013.6723969","DOIUrl":null,"url":null,"abstract":"This paper presents a novel Fourier based approach for recovering the transformation parameters of images that have been translated, globally scaled, rotated and stretched along an arbitrary vector. The proposed method first recovers the global rotation and scaling parameters. Then Hough based techniques are used for recovering the magnitude and orientation of the stretch vector. Theory, methodology and preliminary experimental results are presented.","PeriodicalId":294442,"journal":{"name":"2013, 7th International Conference on Signal Processing and Communication Systems (ICSPCS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fourier based recovery of anisotropic scaling parameters in images\",\"authors\":\"R. González\",\"doi\":\"10.1109/ICSPCS.2013.6723969\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a novel Fourier based approach for recovering the transformation parameters of images that have been translated, globally scaled, rotated and stretched along an arbitrary vector. The proposed method first recovers the global rotation and scaling parameters. Then Hough based techniques are used for recovering the magnitude and orientation of the stretch vector. Theory, methodology and preliminary experimental results are presented.\",\"PeriodicalId\":294442,\"journal\":{\"name\":\"2013, 7th International Conference on Signal Processing and Communication Systems (ICSPCS)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013, 7th International Conference on Signal Processing and Communication Systems (ICSPCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSPCS.2013.6723969\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013, 7th International Conference on Signal Processing and Communication Systems (ICSPCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSPCS.2013.6723969","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fourier based recovery of anisotropic scaling parameters in images
This paper presents a novel Fourier based approach for recovering the transformation parameters of images that have been translated, globally scaled, rotated and stretched along an arbitrary vector. The proposed method first recovers the global rotation and scaling parameters. Then Hough based techniques are used for recovering the magnitude and orientation of the stretch vector. Theory, methodology and preliminary experimental results are presented.