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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
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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. Imaging. 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)


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