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Proceedings Paper

Optical morphological SDF filter for multiple-object recognition
Author(s): Jong-Chan Kim; Jeong-Woo Kim; H.-W. Lee; Yang-Hoi Doh; S.-J. Kim
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Paper Abstract

A new nonlinear morphological detection algorithm is proposed for input scenes with a number of objects present in a clutter. It uses a synthetic discriminant function (SDF) to form the matched spatial filter (MSF) of the structuring element (SE) used in the hit-miss transform (HMT) detection. The SDF synthetic technique is used to adapt intraclass distortions and interclass similarity, where an HMT is used to adapt noisy and cluttered scenes. Simulation results show the proposed algorithm is an attractive nonlinear optical image processing technique that can be applied to an HMT detection to improve both the false alarm rate and its ability to detect multiple-object with distortions and clutter.

Paper Details

Date Published: 23 March 1998
PDF: 7 pages
Proc. SPIE 3386, Optical Pattern Recognition IX, (23 March 1998); doi: 10.1117/12.304760
Show Author Affiliations
Jong-Chan Kim, Kyungpook Junior College (South Korea)
Jeong-Woo Kim, Dongyang Univ. (South Korea)
H.-W. Lee, Dongyang Univ. (South Korea)
Yang-Hoi Doh, Cheju National Univ. (South Korea)
S.-J. Kim, Kyungpook National Univ. (South Korea)


Published in SPIE Proceedings Vol. 3386:
Optical Pattern Recognition IX
David P. Casasent; Tien-Hsin Chao, Editor(s)

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