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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 5.2

International Journal of Applied Research

Vol. 3, Issue 5, Part D (2017)

Analysis of curvelet and contourlet transform for removing noises in ultrasound renal images

Author(s)
SN Ilakkiya, M Ilamathi, J Jayadharani and RL Jeniba
Abstract
Imaging has become an essential component in many fields of bio-medical research and clinical practice. Medical Imaging helps in therapeutic and diagnosis process. The major problem in medical images is noises that may lead to a wrong diagnosis and treatment. There are several noises such as Poisson noise, Gaussian noise, Salt and pepper noise, speckle noise. The aim of the proposed approach is the reduction of the noise in ultrasound kidney image by using Curvelet and Cantourlet transform. etc
Pages: 221-223  |  415 Views  9 Downloads
How to cite this article:
SN Ilakkiya, M Ilamathi, J Jayadharani and RL Jeniba. Analysis of curvelet and contourlet transform for removing noises in ultrasound renal images. International Journal of Applied Research. 2017; 3(5): 221-223.
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