Application and evaluation of edge detection system employing the ADD
Jong-Gu Lee, Eun-Mi Kim, Cheol-Jung Yoo, Ok-Bae Chang · 2007
In order to detect and locate edge features precisely in real images we have developed an algorithm by introducing a nonlocal differentiation of intensity profiles called adaptive directional derivative (ADD), which is evaluated independently of varying ramp widths. In this paper, we first develop the edge detector system employing the ADD and then, the performance of the algorithm is illustrated by comparing the results to those from the Canny's edge detector.