1 August 2004 Distortion-invariant pattern recognition based on a synthetic hit-miss transform
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Optical Engineering, 43(8), (2004). doi:10.1117/1.1768180
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.
Yang-Hoi Doh, Jong-Chan Kim, Jeong-Woo Kim, Kyong-Hyun Choi, Soo-Joong Kim, Mohammad S. Alam, "Distortion-invariant pattern recognition based on a synthetic hit-miss transform," Optical Engineering 43(8), (1 August 2004). http://dx.doi.org/10.1117/1.1768180
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KEYWORDS
Selenium

Detection and tracking algorithms

Distortion invariant pattern recognition

Binary data

Image filtering

Optical correlators

Pattern recognition

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