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International Journal of Applied Research
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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

IMPACT FACTOR (RJIF): 8.4

International Journal of Applied Research

Vol. 3, Issue 3, Part C (2017)

Effective filtering methods to remove different types of noises in brain MRI images

Author(s)
S.Naveen, J.Mercy, R.Lawanya, A.Manikandan, M.Saravanan and A.Santhosh kumar
Abstract
Nowadays in health care, Medical image processing plays an important role for diagnosis and treatment. While capturing the medical images there may be possibility of noises in the images that may degrade the details in the images. So it becomes difficult for the doctors and therapist to diagnosis the diseases properly. Therefore it is mandatory to process and remove the noise from the medical images. MATLAB provides good noise removal techniques and filtering the images that enhances and restores the images. In this paper, different types of noises and various types of filters that are used to remove noise in the images are discussed. The most efficient techniques in removing noises in retinal images and brain MRI images and the comparison of performance of various filters that can efficiently remove or reduces the noise in the images are studied. Among all Wavelet thresholding technique provide a effective removal of noise in brain MRI images
Pages: 173-175  |  1094 Views  13 Downloads
How to cite this article:
S.Naveen, J.Mercy, R.Lawanya, A.Manikandan, M.Saravanan, A.Santhosh kumar. Effective filtering methods to remove different types of noises in brain MRI images. Int J Appl Res 2017;3(3):173-175.
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International Journal of Applied Research