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Optical Engineering • Open Access

Gradient-threshold edge detection based on the human visual system
Author(s): Fuzheng Yang; Yilin Chang; Shuai Wan

Paper Abstract

We present an improved method that is suitable for gradient-threshold edge detectors. The method takes into account the basic characteristics of the human visual system and masks the gradient image with the luminance and the activity of local image before edge labeling. An implementation of this method on a Canny detector is described as an example. The results show that the edge images obtained by our algorithm are more consistent with the perceptive edge images.

Paper Details

Date Published: 1 February 2005
PDF: 2 pages
Opt. Eng. 44(2) 020505 doi: 10.1117/1.1850747
Published in: Optical Engineering Volume 44, Issue 2
Show Author Affiliations
Fuzheng Yang, Xidian Univ. (China)
Yilin Chang, Xidian Univ. (China)
Shuai Wan, Xidian Univ. (China)

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