DE-NOISING KIDNEY ULTRASOUND ANALYSIS USING HAAR WAVELETS
Journal Title: Journal of Science And Arts - Year 2010, Vol 13, Issue 2
Abstract
In medical image processing, image de-noising has become a very essential exercise all through diagnose. A novel approach for the kidney ultrasound de-noising at multiple scales using the wavelet frame analysis was presented in this paper. Wavelets give significant information on the evolution of a time series. In particular, due to their localization properties the significant local changes in observed data (both in time and in frequency) can be easily detected by a limited set of their corresponding wavelet coefficients. In this paper we have made some examples by de-noising kidney ultrasound analysis using Haar Wavelets, in the following, showing the effectiveness of this method. We used for de-noising a ultrasound image of healthy kidney and ultrasound image of kidney with Bull’s eye disease and extracted any wavelet coefficients of four test images.
Authors and Affiliations
MOLDOVANU SIMONA, LUMINITA MORARU
Keywords
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- EP ID EP113368
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