Presentation 2007-11-30
US Image Edge Detection based on Adaptive Wavelet Threshold Method using Speckle Noise Modeling
Jaesik KIM, Toshihiro NISHIMURA,
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Abstract(in English) A Speckle noise reduction method based on the Speckle modeling is proposed as preprocessing for the edge detection of Ultrasound images (US). This paper present an interpolation preprocessing for a modeling of US images which contains speckle noise and noise reduction method based on wavelet filtering. First, we performed the interpolation for the modeling of US synthetic image by using a polynomial function of the Vandermonde matrix, and then evaluated the noise reduction properties with changing the derivation of speckle noise. The result shows that a modeled synthetic image has a similarity with a real US image and the wavelet filter has a good performance for noise reduction. By using the synthetic US image, the ability of finding contours are significantly improved on US image. Finally, we have obtained a quantitative analysis of the proposed method with conventional edge detector.
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Keyword(in English) Speckle noise / Polynomial Interpolation / Wavelet Filter / US Image Modeling
Paper # IE2007-102
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Conference Information
Committee IE
Conference Date 2007/11/22(1days)
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Registration To Image Engineering (IE)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) US Image Edge Detection based on Adaptive Wavelet Threshold Method using Speckle Noise Modeling
Sub Title (in English)
Keyword(1) Speckle noise
Keyword(2) Polynomial Interpolation
Keyword(3) Wavelet Filter
Keyword(4) US Image Modeling
1st Author's Name Jaesik KIM
1st Author's Affiliation Graduate School of Information, Production and Systems, Waseda University()
2nd Author's Name Toshihiro NISHIMURA
2nd Author's Affiliation Graduate School of Information, Production and Systems, Waseda University
Date 2007-11-30
Paper # IE2007-102
Volume (vol) vol.107
Number (no) 358
Page pp.pp.-
#Pages 4
Date of Issue