{"title":"A New Homogenized Feature Based Multi-spectral Image Registration Method","authors":"Chenyang Wu, H. Niu, W. Liang","doi":"10.1109/GCIS.2012.76","DOIUrl":null,"url":null,"abstract":"In this paper, a study aiming to achieve both speed and accuracy of feature based multi-spectral image registration process was carried out. Then a new homogenized feature based image registration method was proposed. The method first use DOH operator to detect features, then a circular filter window is used to adaptively select features based on the spatial distribution and intensity while keeping the features' rotation invariance. The selected features are further described and matched. Experiments show that the selected features are more robust and more uniformly distributed and the method has great advantages in both speed and accuracy.","PeriodicalId":337629,"journal":{"name":"2012 Third Global Congress on Intelligent Systems","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Third Global Congress on Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCIS.2012.76","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, a study aiming to achieve both speed and accuracy of feature based multi-spectral image registration process was carried out. Then a new homogenized feature based image registration method was proposed. The method first use DOH operator to detect features, then a circular filter window is used to adaptively select features based on the spatial distribution and intensity while keeping the features' rotation invariance. The selected features are further described and matched. Experiments show that the selected features are more robust and more uniformly distributed and the method has great advantages in both speed and accuracy.