Title :
Application and evaluation of edge detection system employing the ADD
Author :
Jong-Gu Lee ; Kim, Eun-mi ; Yoo, Cheol-jung ; Chang, Ok-bae
Author_Institution :
Chonbuk Univ., Chonbuk
Abstract :
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.
Keywords :
edge detection; adaptive directional derivative; edge detection system; image edge feature; Adaptive optics; Application software; Computer applications; Computer science; Detectors; Image edge detection; Image sampling; Optical filters; Pixel; Vectors;
Conference_Titel :
Computational Science and its Applications, 2007. ICCSA 2007. International Conference on
Conference_Location :
Kuala Lampur
Print_ISBN :
978-0-7695-2945-5
DOI :
10.1109/ICCSA.2007.64