Comput Methods Programs Biomed - Quantum and impulse noise filtering from breast mammogram images.

Tópicos

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Resumo

Recent advances in the field of image processing have shown that level of noise highly affect the quality and accuracy of classification when working with mammographic images. In this paper, we have proposed a method that consists of two major modules: noise detection and noise filtering. For detection purpose, neural network is used which effectively detect the noise from highly corrupted images. Pixel values of the window and some other features are used as feature for the training of neural network. For noise removal, three filters are used. The weighted average value of these three filters is filled on noisy pixels. The proposed technique has been tested on salt & pepper and quantum noise present in mammogram images. Peak signal to noise ratio (PSNR) and structural similarity index measure (SSIM) are used for comparison of proposed technique with different existing techniques. Experiments shows that proposed technique produce better results as compare to existing methods.

Resumo Limpo

recent advanc field imag process shown level nois high affect qualiti accuraci classif work mammograph imag paper propos method consist two major modul nois detect nois filter detect purpos neural network use effect detect nois high corrupt imag pixel valu window featur use featur train neural network nois remov three filter use weight averag valu three filter fill noisi pixel propos techniqu test salt pepper quantum nois present mammogram imag peak signal nois ratio psnr structur similar index measur ssim use comparison propos techniqu differ exist techniqu experi show propos techniqu produc better result compar exist method

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