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Title: Bilateral filtering associated with bilateral neural networks based automatic noise removal system for brain images
Authors: S. Hariharasudhan, B. Raghu
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2017
Volume: 12
Issue: 1
Language: English
Today’s the medical image processing represent important role in the medical field. Image processing is an Electronic Domain wherein image is divided into small unit called pixel, and then various operation has been carried out. Image filtering, these days, has become an active research area in the domain of Image processing. Noise removal in MRI (Magnetic Resonance Image) scan image is important and essential for a wide variety of subsequent processing applications. Among the abundant denoising algorithms, the bilateral filter has been widely used in many image preprocessing procedures. However, it requires laborious tuning of parameters to obtain optimal filtering results, which is tedious and time-consuming. In this paper, we propose an automatic noise removal system based on the bilateral filter with bilateral neural network for different brain images. And we use bilateral neural networks for the use of high dimensional sparse data.
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