Novel speckle remove method based on ASUSAN nonlinear diffusion

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 the...

Full description

Saved in:
Bibliographic Details
Published in2013 IEEE 11th International Conference on Electronic Measurement & Instruments Vol. 1; pp. 23 - 27
Main Authors Shen Minfen, Xu Yugui
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2013
Subjects
Adaptation models
adaptive SUSAN
anisotropic diffusion
Anisotropic magnetoresistance
Computational modeling
FFS region
Image edge detection
K-mean
Mathematical model
Noise
Speckle
speckle remove
Online AccessGet full text

Cover

More Information
Summary: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.
ISBN:147990757X
9781479907571
DOI:10.1109/ICEMI.2013.6743020