Image denoising and enhancement for lung cancer detection using soft computing technique
Sustainable Energy and Intelligent Systems（2012）
摘要
This paper presents a new denoising and enhancement method using k-fuzzy rules based fuzzy filter. Fuzzy filter is very good tool for efficient denoising and enhancement. Then the Mean Square Error (MSE) has been estimated for various filtering techniques. It was also found that the Fuzzy Filter provides the MSE of 27.63915 for 0.01 dB.
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关键词
computerised tomography,filtering theory,fuzzy logic,fuzzy set theory,image denoising,image enhancement,medical image processing,object detection,ct scan,mse,filtering techniques,image denoising method,image enhancement method,lung cancer detection,mean square error,noise figure 0.01 db,soft computing technique,denoising,enhancement,fuzzy filter
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