Nephrolithiasis (kidney stone formation) is one of the major threats faced by the human being. Correct identification of the stone plays an important role in identifying and curing it. on developing an advanced and precise technique for this purpose, the graphical processing software is involved. Graphics processing software is used today in a wide range of inspection applications in medical field. This software eases the way of understanding and performs parallel computing. This work gives a clear vision about the identification of kidney stones using Image processing techniques in LabVIEW. This technique uses the images of the kidney obtained from the ultrasound imaging technique. The main idea is based on the binary conversion using threshold range and the morphological filtration of the ultrasound image. The aforementioned access provides information about the location and dimension of the stones in the kidney. In future, this work could be used for identifying kidney stone in laboratories and in hospitals to identify the presence of kidney stones in a precise and cost effective way.