Abstract

Edge is a basic and important piece of information that can be examined and manipulated by various edge detection methods. Edge detection is the process used in digital image processing to determine image boundaries and remove unwanted areas from digitised images. Edge detection generally filters out the important and useful information from the whole structural image. In this chapter, edge detection methods and their mathematical implementations have been compared through first-order edge detection operators like Sobel, Canny, Robert, Prewitt, etc. using marker-controlled watershed transformation. In morphological image processing, the edge detection algorithm includes functions such as edge and marker-controlled watershed segmentation. The edge detection techniques are applied to different medical images. Simulation of edge detection techniques has been carried out using MATLAB, and the comparison is made on the basis of statistical measurements.

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