马立勇,马家辰,沈毅.基于像素融合的Curvelet医学超声图像降噪方法[J].中国医学影像技术,2007,23(6):934~936
基于像素融合的Curvelet医学超声图像降噪方法
Pixel fusion based curvelet denoise approach for medical ultrasonic images
投稿时间:2006-10-12  修订日期:2007-05-26
DOI:
中文关键词:  医学超声图像  图像降噪  Curvelet
英文关键词:Medical ultrasonic images  Image denoise  Curvelet
基金项目:
作者单位E-mail
马立勇 哈尔滨工业大学(威海)信息科学与工程学院,山东 威海 264209 hitmaly@yahoo.com.cn 
马家辰 哈尔滨工业大学(威海)信息科学与工程学院,山东 威海 264209  
沈毅 哈尔滨工业大学(威海)信息科学与工程学院,山东 威海 264209  
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中文摘要:
      目的 探求基于Curvelet变换的医学超声图像降噪的有效方法。方法 分别对超声图像进行curvelet和隐Markov树小波降噪,再采用模糊分区方法对结果图像进行像素融合。结果 实现了基于像素融合的Curvelet医学超声图像降噪。结论 对超声图像的降噪实例表明该方法有效提高了图像的视觉效果,明显抑制了伪影。
英文摘要:
      Objective To explore efficient denoise method based on curvelet transfer for medical ultrasonic images. Methods Curvelet denoise method and hidden Markov tree based wavelet method were applied to the ultrasonic images respectively, and fuzzy partition based pixel fusion was applied to the result images. Results A pixel fusion based curvelet denoise approach for medical ultrasonic images was proposed. Conclusion Simulation results of the approach applied to medical ultrasonic images demonstrate that the algorithm improves the visual quality of result images efficiently and suppresses the artifacts in result images evidently.
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