Saina Eskandari - Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran
Saeed Meshgini - Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

The structural defects related to size and position of kidneys such as presence of stones can be estimated with the help of Kidney ultrasound visual presentation. Here we detect the stones present in kidney, fragment the kidney regionsand evaluate the part of the renal which is occupied by kidney stones. Recognition of stone is fundamentally an essentialpreliminary phase to solve the segmentation problem profitably. Thus, the client ultimately comes to identify that it ishard to detect the boundary of the kidney in the ultrasound image; even though it is done by expert sonographers.Individual errors may occur during the interpretation of ultrasound image by an inexperienced sonographer, especially while taking dimensions. Thus, for the purpose of sinking the dependability to the sonographers’ expertise, some iconprocessing can be done which can automatically detect the centroid of human kidney and its calculi. On top, on boundaryedges may be omitted or not properly visible and usually incomplete at various spaces. With the assist of exceeding authenticity, the four premeditated methods have been urbanized for renal calculi segmentation

Ultrasound Image, Image Segmentation, Image analysis, Kidney, Kidney Stone