Efficient edge detection using two scales

An edge combination algorithm is described. The authors´ approach is based on the study of four step edge models (ideal, blurred, pulse and staircase) in scale space. Under these conditions, it is shown that the use of two scales (high and low) is sufficient for good edge detection. A set of rules is derived to combine edge information, and an appropriate algorithm is given, taking into account the origin of false edges and their behavior in scale space