{"title":"基于解析傅里叶-梅林变换的不变相似度配准算法","authors":"M. Sellami, F. Ghorbel","doi":"10.5281/ZENODO.52125","DOIUrl":null,"url":null,"abstract":"Here, we intend to introduce an invariant similarity registration method based on Analytical Fourier-Mellin Transform (AFMT) computed on the image functions. The well-known phase correlation method which estimates the geometrical transformation parameters between tow images from the corresponding Fourier-Mellin spectrums is compared to the proposed one. In order to illustrate the best performance of the geometric parameters estimation, we apply our method to the construction of Punic Panorama.","PeriodicalId":201182,"journal":{"name":"2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"An invariant similarity registration algorithm based on the Analytical Fourier-Mellin Transform\",\"authors\":\"M. Sellami, F. Ghorbel\",\"doi\":\"10.5281/ZENODO.52125\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Here, we intend to introduce an invariant similarity registration method based on Analytical Fourier-Mellin Transform (AFMT) computed on the image functions. The well-known phase correlation method which estimates the geometrical transformation parameters between tow images from the corresponding Fourier-Mellin spectrums is compared to the proposed one. In order to illustrate the best performance of the geometric parameters estimation, we apply our method to the construction of Punic Panorama.\",\"PeriodicalId\":201182,\"journal\":{\"name\":\"2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5281/ZENODO.52125\",\"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 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5281/ZENODO.52125","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An invariant similarity registration algorithm based on the Analytical Fourier-Mellin Transform
Here, we intend to introduce an invariant similarity registration method based on Analytical Fourier-Mellin Transform (AFMT) computed on the image functions. The well-known phase correlation method which estimates the geometrical transformation parameters between tow images from the corresponding Fourier-Mellin spectrums is compared to the proposed one. In order to illustrate the best performance of the geometric parameters estimation, we apply our method to the construction of Punic Panorama.