Watershed Based Intelligent Scissors

Segmentation of various structures is very important in medical image processing. There are many ways to detect edges in the image. Some solutions are global and rely on detection of the largest possible number of edges. As examples, spatial edge filters (i.e. Roberts, Prewitt, Sobel), detectors (i.e. Canny, Susan) and transforms (i.e. Fourier, wavelet, watershed) can be given. Some of them are highly sensitive and detect many — also very thin — edges. Therefore, they are low resistant to local noise.

Source: Computerized Medical Imaging and Graphics - January 21, 2015 Category: Radiology Authors: W. Wieclawek, E. Pietka Source Type: research