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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Speckle noise / Polynomial Interpolation / Wavelet Filter / US Image Modeling |
Paper # | IE2007-102 |
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Conference Information | |
Committee | IE |
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Conference Date | 2007/11/22(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Image Engineering (IE) |
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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 |
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