• Kirti
• Sandeep Tayal
• Ankit Bansal
• Bijender Bansal
• Monika Goyal

Kidney-Urine-Belly computed tomography (KUB CT) analysis is an imaging modality that has the potential to enhance kidney stone screening and diagnosis. This study explored the development of a semi-automated program that used image processing techniques and geometry principles to define the boundary, and segmentation of the kidney area, and to enhance kidney stone detection. This can be done by different filtering technique. In our work, we have present ideal, median and Butterworth filter. The performance of these filter is analyzed on the basis of MSE, PSNR,SNR. After analyzing all the parameter it is conclude that Median filters are best fitted for enhancement of kidney stone Images.

Renal Calculi, Kidney Stones, MSE (Mean Square Error), PSNR (Peak Signal to Noise Ratio).

"Enhancement of Kidney Stone Images using different Filtering Technique ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.274-279, June 2019, Available :http://www.jetir.org/papers/JETIR1907343.pdf

"Enhancement of Kidney Stone Images using different Filtering Technique ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp274-279, June 2019, Available at : http://www.jetir.org/papers/JETIR1907343.pdf