Kidney Stone Detection and Stone Analysis Using Image Processing

Abstract

Abstract: The primary goal of the project is to detect the kidney stone from the digital ultrasound image of the kidney by performing various image processing techniques. Due to the varied texture and existence of speckle noise, detecting regions of interest in ultrasound pictures is a difficult process. Ultrasound scanning is the most common method of examining a patient for the presence of kidney stones. We created an application that aids the medical practitioner in selecting the region to be evaluated can also referred to as renal calculi using the suggested technology. The feature extraction is done on cropped portions that may have stones in them. The KNN classifier is accustomed to categories images based on training data.