Kidney stones are renal calculi that are formed due to the collection of calcium and uric acid. The major symptom for the existence of these renal calculi is severe pain, especially when it travels down the urethra. To detect these renal calculi, ultrasound images are preferable. But these images have speckle noise which makes the detection of stone challenging. To obtain better results, semantic object region and morphological analysis (SORAMA) is found to be productive. The first scanned image undergoes a noise removal process. Later the image is enhanced. Detection of region of interest (ROI) in the image is done. Later it undergoes dilation and erosion, a part of morphological analysis that produces a smoothening effect on the image. From the smoothened image, the stone is detected. If the stone is not detected, it again undergoes noise removal technique, and the whole process is repeated until the smoothened image with the stone is detected. This novel paper will be a boon to medical patients suffering from this disease, which needs to be detected and diagnosed at a very early stage.
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