NEW METHODS FOR CONTOUR-DETECTION AND AUTOMATIC THRESHOLDING

Authors
BELKASIM SO SHRIDHAR M AHMADI M
Citation
So. Belkasim et al., NEW METHODS FOR CONTOUR-DETECTION AND AUTOMATIC THRESHOLDING, Canadian journal of electrical and computer engineering, 20(4), 1995, pp. 165-171
Citations number
22
Categorie Soggetti
Engineering, Eletrical & Electronic","Computer Science Hardware & Architecture
Journal title
Canadian journal of electrical and computer engineering → ACNP
ISSN journal
08408688
Volume
20
Issue
4
Year of publication
1995
Pages
165 - 171
Database
ISI
SICI code
0840-8688(1995)20:4<165:NMFCAA>2.0.ZU;2-5
Abstract
This paper presents two new approaches for optimum thresholding of gra y-level images. The first algorithm utilizes an iterative thresholding scheme in conjunction with a golden-section optimization technique to determine the optimum threshold that maximizes the number of contours and the number of pixels in the contours. The second algorithm uses t he same optimization technique to determine the optimum threshold that maximizes the average perimeter of the scene image.