Novel Speckle Remove Method Based on ASUSAN Nonlinear Diffusion

摘要：

　　As we all know, speckle noise exist in ultrasound and radar images, and it brings bad affection to image analysis, like image segmentation, image fusion and image registration.So far, many diffusion methods have been put forward to remove speckle noise, but they all have some defections because their diffusion models are unsuitable for speckle noise.In this paper, a novel speckle remove method based on ASUSAN nonlinear diffusion is proposed.We adopt SUSAN operator to detect image edges, then k-means algorithm is used to select fully formed speckle region, finally our ASUSAN diffusion method is obtained to remove speckle noise by iterations.The experiments demonstrate that our proposed method achieves better results in PSNR, MES, FOM and image edges preserve, compared with the other methods.

关键词： speckle remove K-mean FFS region adaptive SUSAN anisotropic diffusion

作者: Shen Minfen Xu Yugui

作者单位: Shantou Polytechnic,Department of Electronic Engineering,Shantou University Shantou Polytechnic,Haojiang district,Shantou,Guangdong,P.R.China

会议类型: 国际会议

会议名称: 2013 IEEE 11th International Conference on Electronic Measurement & Instruments(第十一届IEEE国际电子测量与仪器学术会议)

会议地点: 哈尔滨

会议语种:英文

页码: 23-27

在线出版日期: 2013-08-16（万方平台首次上网日期，不代表论文的发表时间）