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Proceedings Paper

Image segmentation using variable threshold functions
Author(s): Hassan Hassan
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Paper Abstract

This paper presents digital image segmentation techniques and algorithms using variable threshold functions. The technique is successful to detect regions with different or poor light radiances and can be applied to images with occluded or noisy objects. The Variable threshold functions are derived from discrete time functions often used in digital control system design. The developed algorithms can be integrated on a single monolithic integrated circuit or implemented as an embedded system for real-time applications.

Paper Details

Date Published: 12 April 2004
PDF: 12 pages
Proc. SPIE 5437, Optical Pattern Recognition XV, (12 April 2004); doi: 10.1117/12.541603
Show Author Affiliations
Hassan Hassan, Lawrence Technological Univ. (United States)

Published in SPIE Proceedings Vol. 5437:
Optical Pattern Recognition XV
David P. Casasent; Tien-Hsin Chao, Editor(s)

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