Detection of kidney stone using digital image processing: a holistic approach

Abstract

Abstract This study presents an ultrasound speckle suppression method to detect the stones in the human kidney. An initial image is first improved using image enhancement techniques, which are used to change the image’s intensities. Next, median filters smooth the picture and eliminate noise. Pre-processed images are segmented using a thresholding technique. The median filter extracts impulsive noise from salt-and-pepper noise. The suggested approach locates stones using location coordinates. Hospital and clinical ultrasound images were used to evaluate the proposed scheme and algorithm. The suggested scheme has been assessed by different performance measuring parameters. Physicians are likely to benefit from the research in terms of clinical diagnosis and educational training. Based on 50 test cases, the proposed plan was correct 96.82% of the time and sensitive 92.16% of the time. Furthermore, the peak signal to noise ratio is 1.82, and the average signal to noise ratio is 1.58, demonstrating the efficacy of the proposed approach.