Volume 11 - Volume 11
Detection of Kidney Stones in Ultrasound Images Using Median Filter Compared with Rank Filter
Abstract
Aim: To detect the kidney stones in ultrasound images using median filters to improve the detection
rate in terms of accuracy and sensitivity. Materials and Methods: The accuracy and sensitivity of
median filter (n=114) was compared with rank filter (n=114). The median filter is used to detect the
kidney stone in ultrasound images. 114 is the sample size taken with the p-value 0.8 and has been
used to improve detection rate of kidney stones in terms of accuracy and sensitivity using Matlab
simulation tool. Results: According to the results obtained Median filter has accuracy (86.4%) and
rank filter has accuracy (82.2%) and also sensitivity of median filter (87.7%) and sensitivity of rank
filter is (82.5%). Median filter has a significantly higher accuracy (p=0.018) and sensitivity
(p=<0.01) compared with the rank filter. Conclusion: The detection rate is improved using the
Median filter compared with rank filter in terms of accuracy and sensitivity.
Paper Details
PaperID: 2171
Author's Name: Annameti Rohith and S. Premkumar
Volume: Volume 11
Issues: Volume 11
Keywords: Image Processing, Rank Filter, Innovative Median Filter.
Year: 2021
Month: June
Pages: 1096-1111