Edge detection: Difference between revisions

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The goal of '''edge detection''' is to mark the points in ana [[digital image]] at which the [[luminous intensity]] changes sharply. Sharp changes in image properties usually reflect important events and changes in world properties. Edge detection is a research field within [[image processing]] and [[feature extraction]].

Edge detection of an image reduces significantly the amount of data and filters out information that is not very important, preserving the important structural properties of an image. There are many methods for edge detection, but the most can be grouped in two categories, gradient and Laplacian. The gradient method detects the edges by looking for the maximum and minimum in the first derivative of the image. The Laplacian method searches for zero crossings in the second derivative of the image in order to find edges.