TY  - JOUR
T1  - Edge Analysis for Noise Suppression in Ultrasound Kidney Images Using Weighted 
  Median Filter
AU - Ramamoorthy, K. AU - Chelladurai, T. AU - Sundararajan, P.N. 
JO  - International Journal of System Signal Control and Engineering Application
VL  - 7
IS  - 2
SP  - 36
EP  - 42
PY  - 2014
DA  - 2001/08/19
SN  - 1997-5422
DO  - ijssceapp.2014.36.42
UR  - https://makhillpublications.co/view-article.php?doi=ijssceapp.2014.36.42
KW  - Improved circular Gabor filters
KW  -kidney ultrasound images
KW  -noise suppression
KW  -texture analysis
KW  -speckle noise error
AB  - Due to the characteristic speckle noise of Ultrasound (US) kidney images, 
  a noise reducing filter must be first applied before image processing stages 
  like segmentation, registration, etc. In addition, the speckle noise suppression 
  methods are highly required to improve the quality of the ultrasound image in 
  retaining the edge features of the kidney images. The effect of this stage increases 
  the dynamic range of gray levels which in turn increase the image contrast. 
  The proposed system develops weighted median filter speckle noise suppression 
  method for ultrasound kidney images. This study designs intensity invariant 
  local image phase features, obtained using improved circular Gabor filter banks 
  for extracting edge texture features that occur at core and intermediate layer 
  interfaces. The proposed model does the extension of phase symmetry features 
  to modified circular Gabor mode for use in automatic extraction of kidney edge 
  texture features from US normal and diseased patient images. The system functionality 
  is proved qualitatively and quantitatively through experimentation for synthetic 
  and real data sets. The speckle noise error ratio with respect to the standard 
  US images are compared and experimented.
ER  -