Self-Quotient ε-Filter for Feature Extraction from Noise Corrupted Image

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概要

• 論文の詳細を見る

• This paper describes a nonlinear filter that can extract the image feature from noise corrupted image labeled self-quotient ε-filter (SQEF). SQEF is an improved self-quotient filter (SQF) to extract the image feature from noise corrupted image. Although SQF is a simple approach for feature extraction from the images, it is difficult to extract the feature when the image includes noise. On the other hand, SQEF can extract the image feature not only from clear images but also from noise corrupted images with uniform noise, Gaussian noise and impulse noise. We show the algorithm of SQEF and describe its feature when it is applied to uniform noise corrupted image, Gaussian noise corrupted image and impulse noise corrupted image. Experimental results are also shown to confirm the effectiveness of the proposed method.

• （社）電子情報通信学会の論文
• 2010-11-01

著者

• Matsumoto Mitsuharu

  Education And Research Center For Frontier Science The University Of Electro-communications

関連論文

• Estimation of Optimal Parameter in ε-Filter Based on Signal-Noise Decorrelation
• Band-Pass ε-Filter for Edge Enhancement and Noise Removal
• Self-Quotient ε-Filter for Feature Extraction from Noise Corrupted Image

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