Design of direction oriented filters using McClellan Transform for edge detection

Abstract

Edge detection is a process that detects the presence and location of edges constituted by sharp changes in intensity of an image. Edges define the boundaries between regions in an image, which helps with segmentation and object recognition. Edge detection of an image significantly reduces the amount of data and filters out useless information, while preserving the important structural properties in an image. The general method of edge detection is to study the changes of a single image pixel in an area, uses the variation of the edge neighbouring first order or second-order to detect the edge. This paper describes an edge detection using multi scale Directional Filter Bank (DFB). The directional responses of DFB that represent the edge information can be used for edge detection.