CANCER DETECTION USING THE APPLICATION OF WEINER FILTERING AND MULTI SUPPORT VECTOR SCHEME
Author(s):
gazala mehra, DR.R.C Gangwar
ISSN:
2349-6002
Cite This Article:
CANCER DETECTION USING THE APPLICATION OF WEINER FILTERING AND MULTI SUPPORT VECTOR SCHEMEInternational Journal of Innovative Research in Technology(www.ijirt.org) ,ISSN: 2349-6002 ,Volume 6 ,Issue 4 ,Page(s):23-27 ,September 2019 ,Available :IJIRT148611_PAPER.pdf
Keywords:
MRI Image, Salt and Pepper, Gaussian, Buffer, Weiner filter, PSF(Point Spread Function)
Abstract
MRI image capturing process is such that they are prone to unidentified noise. MRI image is used to diagnose a disease. Clarity is utmost necessity in such environment. Noises which can corrupt the image involve salt and pepper, Gaussian, shot noise etc. detection and removal of such noise from within the image is critical. Improving image quality is aim of this paper. Buffer is implemented to remove overlapped pixels and then wiener filter is implemented to smoothen the image. The simulation is conducted in MATLAB and noise is introduced using point spread function (PSF). Noise introduction is the first step after loading MRI image. Buffer mechanism implements uniqueness and size is reduced considerably. Weiner filter application is last step in the modified approach leading to smoothness in image. Obtained results prove the worth of study.
Article Details
Unique Paper ID: 148611

Publication Volume & Issue: Volume 6, Issue 4

Page(s): 23 - 27
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Volume 6 Issue 6

Last Date 25 November 2019


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