OPTIMAL EDGE DETECTION FILTER USING GENETIC ALGORITHM

The process of finding the limits of the image (edge detection) means finding the boundary between the neighboring regions which differ from each other in gray levels value. The extraction of features such as edges and curves from an image is useful for many purposes. Features, such as edges and curves are useful in i) texture analysis ii) 3-D surface restructuring iii) segmentation iv) image matching. Edges are important features in an image since they represent significant local intensity changes. They provide important clues to illumination. Due to the absence of specific suitable method to detect all types of edges, the present work try to find an optimal filter to define image edges and compare it with traditional filters, the GA algorithm used to do so.