Thresholding in Edge Detection
Yulka Petkova, Dimitar Tyanev · 2005
Many edge detectors are described in the literature about image processing, where the choice of input parameters are to be made by the users. In many cases such choices are made intuitively. In this paper we propose the choice of threshold to be based on the visual perception of the edge. Using our earlier edge definition and proposed algorithm for edge detection we formulate a mini-max rule for threshold determination. This rule uses the values of the second derivative of intensity function. Choice of the most significant values of second derivative allows to separate areas, which contain edges. The proposed approach is applied in the developed by the authors edge detector. The derived results are satisfactory.