Abstract: Nowadays, kidney stone has become a major problem and if not detected at an early Stage, then it may cause complications and sometimes surgery is also needed to remove the stone. 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 suggested approach locates stones using location coordinates. 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 30 test cases, the proposed plan was correct 96%.
Key Words: Kidney stone detection, image processing, wavelet processing, ultrasound images, median filter, canny edge detection.
|
DOI:
10.17148/IJARCCE.2023.12577
