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Optical Engineering

Distortion-invariant pattern recognition based on a synthetic hit-miss transform
Author(s): Yang-Hoi Doh; Jong-Chan Kim; Jeong-Woo Kim; Kyong-Hyun Choi; Soo-Joong Kim; Mohammad S. Alam
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Paper Abstract

A new synthetic hit-miss transform (SHMT) algorithm is proposed for distortion-invariant recognition of various objects in noisy and cluttered input images. The proposed SHMT algorithm uses synthetic structuring elements (SEs), which are synthesized based on a synthetic discriminant function (SDF) filter algorithm. The synthetic hit SE is composed of the linear combination of the reference hit SEs, and the synthetic miss SE is composed of the linear combination of the reference miss SEs. Based on various simulations, it is shown that the proposed algorithm can be applied to an HMT correlator to improve its ability to detect various objects with distortions in noisy and cluttered scenes.

Paper Details

Date Published: 1 August 2004
PDF: 6 pages
Opt. Eng. 43(8) doi: 10.1117/1.1768180
Published in: Optical Engineering Volume 43, Issue 8
Show Author Affiliations
Yang-Hoi Doh, Cheju National Univ. (South Korea)
Jong-Chan Kim, Kyungpook College (South Korea)
Jeong-Woo Kim, Dongyang Univ. (South Korea)
Kyong-Hyun Choi
Soo-Joong Kim, Kyungpook National Univ. (South Korea)
Mohammad S. Alam, Univ. of South Alabama (United States)


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