{"title":"利用变换技术进行医学图像融合","authors":"B. Ashwanth, K. Swamy","doi":"10.1109/ICDCS48716.2020.243604","DOIUrl":null,"url":null,"abstract":"Medical image fusion is a process of gathering relevant data information from two or more images, the important information from the images sources are taken which results in having better or more reliable medical image. The Paper present Medical image fusion in transform domain by using DWT(Discrete Wavelet Transform) and SWT(Stationary Wavelet Transform).The edge and energy rule for the decomposed bands of DWT, SWT based image fusion are performed. The new fusion rule gave better fused image. Entropy is used to assess the performance of the proposed algorithm. The two images (MRI, PET) are used for the fusion by using DWT, SWT by using the proposed algorithm edge and energy algorithm the decomposed band which contains higher information is present in the fused image.","PeriodicalId":307218,"journal":{"name":"2020 5th International Conference on Devices, Circuits and Systems (ICDCS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Medical Image Fusion using Transform Techniques\",\"authors\":\"B. Ashwanth, K. Swamy\",\"doi\":\"10.1109/ICDCS48716.2020.243604\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Medical image fusion is a process of gathering relevant data information from two or more images, the important information from the images sources are taken which results in having better or more reliable medical image. The Paper present Medical image fusion in transform domain by using DWT(Discrete Wavelet Transform) and SWT(Stationary Wavelet Transform).The edge and energy rule for the decomposed bands of DWT, SWT based image fusion are performed. The new fusion rule gave better fused image. Entropy is used to assess the performance of the proposed algorithm. The two images (MRI, PET) are used for the fusion by using DWT, SWT by using the proposed algorithm edge and energy algorithm the decomposed band which contains higher information is present in the fused image.\",\"PeriodicalId\":307218,\"journal\":{\"name\":\"2020 5th International Conference on Devices, Circuits and Systems (ICDCS)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 5th International Conference on Devices, Circuits and Systems (ICDCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDCS48716.2020.243604\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 5th International Conference on Devices, Circuits and Systems (ICDCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDCS48716.2020.243604","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Medical image fusion is a process of gathering relevant data information from two or more images, the important information from the images sources are taken which results in having better or more reliable medical image. The Paper present Medical image fusion in transform domain by using DWT(Discrete Wavelet Transform) and SWT(Stationary Wavelet Transform).The edge and energy rule for the decomposed bands of DWT, SWT based image fusion are performed. The new fusion rule gave better fused image. Entropy is used to assess the performance of the proposed algorithm. The two images (MRI, PET) are used for the fusion by using DWT, SWT by using the proposed algorithm edge and energy algorithm the decomposed band which contains higher information is present in the fused image.