Edge detection in machine vision using a simple L1 norm template matching algorithm

摘要

Template matching based on the sum of absolute errors (the L1 norm) is an effective means of edge detection in certain controlled imaging environments where the form of the edges to be detected is known. The algorithm employs a 1-D edge profile as the template. Edges are detected by computing the L1 norm of an error vector obtained by subtracting an edge template from the image data. This paper evaluates the performance of the L1 norm template matching algorithm and draws comparisons to classical correlation matching. The L1 norm template matching algorithm has potential for integrated circuit and printed circuit board inspection, and other inspection applications where the lighting and view aspect can be controlled.