Speckle Reduction for Ultrasonic Images Using Fuzzy Morphology

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概要

• 論文の詳細を見る

• To develop a smoothing method for speckle reduction is a significant problem, because of the complex ultrasonic characteristics and the obscurity of the tissue image. This paper presents a new method for speckle reduction from medical ultrasonic image by using fuzzy morphological speckle reduction algorithm(FMSR) that preserves resolvable details while removing speckle in order to cope with the ambiguous and obscure ultrasonic images. FMSR creates a cleaned image by recombining the processed residual images with a smoothed version of an original image. Performance of the proposed method has been tested on the phantom and tissue images. The results show that the method effectively reduces the speckle while preserving the resolvable details.

• 社団法人電子情報通信学会の論文
• 2001-04-01

著者

• Avianto E

  Tokyo Univ. Agriculture And Technol.

• Ito Masayasu

  The Department Of Electronic And Information Engineering Tokyo University Of Agriculture And Technol

• AVIANTO Erwin

  the Department of Electronic and Information Engineering, Tokyo University of Agriculture and Techno

関連論文

• Speckle Reduction for Ultrasonic Images Using Fuzzy Morphology

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