{"title":"基于小波的超声图像斑点去除方法","authors":"G. Andria, F. Attivissimo, A. Lanzolla, M. Savino","doi":"10.1109/I2MTC.2012.6229347","DOIUrl":null,"url":null,"abstract":"The purpose of this study is to assess the effect of different noise reduction filters on ultrasound images. In particular two denoising filters based on thresholding and wavelet coefficients are proposed. Simulation results show that the techniques developed increase the image quality and then allow a more accurate diagnosis.","PeriodicalId":387839,"journal":{"name":"2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Wavelet based methods for speckle reduction in ultrasound images\",\"authors\":\"G. Andria, F. Attivissimo, A. Lanzolla, M. Savino\",\"doi\":\"10.1109/I2MTC.2012.6229347\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of this study is to assess the effect of different noise reduction filters on ultrasound images. In particular two denoising filters based on thresholding and wavelet coefficients are proposed. Simulation results show that the techniques developed increase the image quality and then allow a more accurate diagnosis.\",\"PeriodicalId\":387839,\"journal\":{\"name\":\"2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-05-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/I2MTC.2012.6229347\",\"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 IEEE International Instrumentation and Measurement Technology Conference Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I2MTC.2012.6229347","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Wavelet based methods for speckle reduction in ultrasound images
The purpose of this study is to assess the effect of different noise reduction filters on ultrasound images. In particular two denoising filters based on thresholding and wavelet coefficients are proposed. Simulation results show that the techniques developed increase the image quality and then allow a more accurate diagnosis.
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