Kundu, M. K. ; Pal, S. K. (1986) Thresholding for edge detection using human psychovisual phenomena Pattern Recognition Letters, 4 (6). pp. 433-441. ISSN 0167-8655
Full text not available from this repository.
Official URL: http://linkinghub.elsevier.com/retrieve/pii/016786...
Related URL: http://dx.doi.org/10.1016/0167-8655(86)90041-3
Abstract
An algorithm based on the facts of the human visual system is presented here whereby it is possible to select automatically (without human intervention) the thresholds for detecting the significant edges as perceived by human beings. The threshold value adapts with the background intensity according to the criterion governed by a characteristics of one of the De Vries-Rose, Weber's and saturated regions. The algorithm is found to provide a satisfactory improvement in the performance in the conventional edge detection process.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to International Association for Pattern Recognition. |
| Keywords: | Human Visual System; Edge Detection; Adaptive Thresholding |
| ID Code: | 26082 |
| Deposited On: | 06 Dec 2010 13:07 |
| Last Modified: | 13 Jun 2011 06:12 |
Repository Staff Only: item control page
