{"title":"基于Contourlet变换的EPMA图像融合方案","authors":"L. Xiang, Tang Wei","doi":"10.1109/IUCE.2009.27","DOIUrl":null,"url":null,"abstract":"Based on the analysis of the characteristics of electron probe image, This paper proposes a novel EPMA image fusion scheme based on Contourlet Transform. As a novel multiscale geometric analysis tool, Contourlet has shown many advantages over the conventional image representation methods. It provides flexible number of directions and captures the intrinsic geometrical structure of images. The efficient directional filter banks with low redundancy of contourlet are very attractive for image processing. Experiments show the proposed image fusion method can have better performance than existing image fusion methods,which is good for further image Processing and Analysis such as identical micro surface target recognition, impurity feature extraction and etc","PeriodicalId":153560,"journal":{"name":"2009 International Symposium on Intelligent Ubiquitous Computing and Education","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"EPMA Image Fusion Scheme Based on Contourlet Transform\",\"authors\":\"L. Xiang, Tang Wei\",\"doi\":\"10.1109/IUCE.2009.27\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the analysis of the characteristics of electron probe image, This paper proposes a novel EPMA image fusion scheme based on Contourlet Transform. As a novel multiscale geometric analysis tool, Contourlet has shown many advantages over the conventional image representation methods. It provides flexible number of directions and captures the intrinsic geometrical structure of images. The efficient directional filter banks with low redundancy of contourlet are very attractive for image processing. Experiments show the proposed image fusion method can have better performance than existing image fusion methods,which is good for further image Processing and Analysis such as identical micro surface target recognition, impurity feature extraction and etc\",\"PeriodicalId\":153560,\"journal\":{\"name\":\"2009 International Symposium on Intelligent Ubiquitous Computing and Education\",\"volume\":\"57 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Symposium on Intelligent Ubiquitous Computing and Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IUCE.2009.27\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Symposium on Intelligent Ubiquitous Computing and Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IUCE.2009.27","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
EPMA Image Fusion Scheme Based on Contourlet Transform
Based on the analysis of the characteristics of electron probe image, This paper proposes a novel EPMA image fusion scheme based on Contourlet Transform. As a novel multiscale geometric analysis tool, Contourlet has shown many advantages over the conventional image representation methods. It provides flexible number of directions and captures the intrinsic geometrical structure of images. The efficient directional filter banks with low redundancy of contourlet are very attractive for image processing. Experiments show the proposed image fusion method can have better performance than existing image fusion methods,which is good for further image Processing and Analysis such as identical micro surface target recognition, impurity feature extraction and etc