{"title":"基于互信息的不同时间图像对齐算法","authors":"A. Tashlinskii, G. Safina, Michael Tsaryov","doi":"10.1109/dspa53304.2022.9790750","DOIUrl":null,"url":null,"abstract":"The stochastic algorithm for multi-time image alignment based on Tsallis mutual information is proposed. The algorithm assumes determining a set of fragments on the reference image, estimating the deformation parameters of these fragments using a local alignment model, filtering unreliable parameter estimates, finding the parameters of the global alignment model by deformations of fragments.","PeriodicalId":428492,"journal":{"name":"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"157 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Algorithm for Different-Time Image Alignment on the Base of Mutual Information\",\"authors\":\"A. Tashlinskii, G. Safina, Michael Tsaryov\",\"doi\":\"10.1109/dspa53304.2022.9790750\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The stochastic algorithm for multi-time image alignment based on Tsallis mutual information is proposed. The algorithm assumes determining a set of fragments on the reference image, estimating the deformation parameters of these fragments using a local alignment model, filtering unreliable parameter estimates, finding the parameters of the global alignment model by deformations of fragments.\",\"PeriodicalId\":428492,\"journal\":{\"name\":\"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)\",\"volume\":\"157 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/dspa53304.2022.9790750\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/dspa53304.2022.9790750","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Algorithm for Different-Time Image Alignment on the Base of Mutual Information
The stochastic algorithm for multi-time image alignment based on Tsallis mutual information is proposed. The algorithm assumes determining a set of fragments on the reference image, estimating the deformation parameters of these fragments using a local alignment model, filtering unreliable parameter estimates, finding the parameters of the global alignment model by deformations of fragments.