The utilization of image processing and computer vision technologies has shown remarkable efficacy in analyzing kidney ultrasound images for the recognition of kidney stone related problems. The motivation for this research is the increasing prevalence of kidney disease worldwide, which is a serious health issue. The study focuses on kidney stones, a common and painful condition requiring timely and accurate diagnosis. Ultrasound imaging, preferred for its non-invasive, radiation-free, and cost-effective nature, often suffers from speckle noise and low contrast, complicating the accurate...