Share Email Print

Journal of Electronic Imaging

Adaptive thresholding algorithm that maximizes edge features within an image
Author(s): Arthur Robert Weeks; Harley R. Myler; Michelle Van Dyke-Lewis
Format Member Price Non-Member Price
PDF $20.00 $25.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

We present a new adaptive thresholding algorithm that uses the theories of human visual perception to select a global threshold value. The algorithm is based on the total contour information contained within an image and selects a threshold value that maximizes the edge features within the binarized image.

Paper Details

Date Published: 1 October 1993
PDF: 10 pages
J. Electron. Imag. 2(4) doi: 10.1117/12.159649
Published in: Journal of Electronic Imaging Volume 2, Issue 4
Show Author Affiliations
Arthur Robert Weeks, Univ. of Central Florida (United States)
Harley R. Myler, Univ. of Central Florida (United States)
Michelle Van Dyke-Lewis, Univ. of Central Florida (United States)

© SPIE. Terms of Use
Back to Top