A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf
.
Performance Analysis for MRI denoising using Intensity Averaging Gaussian Blur Concept and Its Comparison with Wavelet Transform Method
2012
International Journal of Computer Applications
Feature extraction and object recognition plays important role in medical image, acquired by various imaging modalities. Medical image is taken by various technologies like MRI machine, computed tomography (CT), positron emission tomography (PET) etc. These techniques always add noise in image. Which should be removed for feature extraction and object recognition of medical image? This noise will change the phase and amplitude of every pixel in the image. So image restoration becomes essential
doi:10.5120/9359-3694
fatcat:224gxofc2jcczo4htaohqq7usq