Using Basic Morphology Tools in Improvement of Kidneys Detection

In renal scintigraphy, detecting the borders of kidneys in an image is one of the more difficult image processing operations. Because of the presence of speckle noise in these images affects edges and fine details which limit the contrast resolution and make diagnostic more difficult. Thus, with using basic morphology based algorithm, choice of appropriate technique type for each circumstance becomes an essential task. The segmentation transform is often applied to this problem. The segmentation transform finds catchment basins and watershed ridge lines in an image by treating it as a surface where light pixels are high and dark pixels are low. Segmentation using the watershed transform works well if one can identify, or mark, foreground objects and background locations. This algorithm was done on fifty renal scintograms. A watershed transform Algorithm kidneys segmentation method was proposed in this study. Proposed method is able to determine the liver boundaries accurately. It is able to segment liver and improves radiological analysis and diagnosis.