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Optical Engineering

New morphological hit-miss transform-based detection algorithm
Author(s): Yang-Hoi Doh; Jong-Chan Kim; Jeong-Woo Kim; Soo-Joong Kim; Mohammad S. Alam
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Paper Abstract

A new hit-miss transform (HMT) algorithm is proposed to detect distorted multiple objects in clutter. The HMT in morphology is used to locate a specific object in an input image. But the standard algorithm of the morphological HMT may cause problems in detecting various true- class objects. To provide efficient recognition of various true-class objects in the input image, a new optical hit-miss morphological transform using the synthetic structuring element (SE) is proposed. The synthetic hit SE is composed of the intersection of all true-class hit SEs, and the synthetic miss SE is composed of the complement of the union of all true-class hit SEs. Simulation results show that the proposed algorithm can be used for the recognition of various true-class objects in an unknown input scene with only one HMT operation.

Paper Details

Date Published: 1 January 2002
PDF: 6 pages
Opt. Eng. 41(1) doi: 10.1117/1.1425783
Published in: Optical Engineering Volume 41, Issue 1
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)
Soo-Joong Kim, Kyungpook National Univ. (South Korea)
Mohammad S. Alam, Univ. of South Alabama (United States)

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