Medical image noise suppression: using mediated morphology (医用画像)

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概要

• 論文の詳細を見る

• This paper introduces superior ability of mediated morphology in suppression of normal noise and its great unique ability in suppression of high density Gaussian and Salt & Pepper noises from medical images. The proposed morphological filter is based on mediated morphology, that its main operators are composed of a particular internal combination of Classical morphological operators and median operator. The mediated Morphological algorithm has been compared with classical Morphological filter, Weighted Morphological filter and linear averaging filter by applying over MRI images contaminated with three different types of noise; Salt & pepper, Speckle and Gaussian. Accurate Numerical descriptions convey that the proposed filter dominate all others, in different levels of noise. This dominance becomes more evident in high levels of noise. While due to increase of the noise level, the other filters gradually become useless, Mediated Morphological filter has still its effect. Furthermore as another advantage, it is not almost influenced by density of Salt & Pepper noise as well as variance of Gaussian noise.

• 社団法人電子情報通信学会の論文
• 2008-01-18

著者

• Khosravy Mahdi

  Information Department Faculty Of Engineering University Of The Ryukyus

• Sedaaghi Mohammad

  Faculty Of Electrical Engineering Sahand University Of Technology

• Asharif Mohammad

  Information Department Faculty Of Engineering University Of The Ryukyus

関連論文

• Morphological adult and fetal ECG preprocessing: employing mediated morphology (医用画像)
• Medical image noise suppression: using mediated morphology (医用画像)

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