Optical morphological SDF filter for multiple-object recognition

Jong-Chan Kim; Jeong-Woo Kim; H.-W. Lee; Yang-Hoi Doh; S.-J. Kim

doi:10.1117/12.304760

23 March 1998 Optical morphological SDF filter for multiple-object recognition

Jong-Chan Kim, Jeong-Woo Kim, H.-W. Lee, Yang-Hoi Doh, S.-J. Kim

Proceedings Volume 3386, Optical Pattern Recognition IX; (1998) https://doi.org/10.1117/12.304760
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

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.

Citation Download Citation

Jong-Chan Kim, Jeong-Woo Kim, H.-W. Lee, Yang-Hoi Doh, and S.-J. Kim "Optical morphological SDF filter for multiple-object recognition", Proc. SPIE 3386, Optical Pattern Recognition IX, (23 March 1998); https://doi.org/10.1117/12.304760

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KEYWORDS

Optical correlators

Image filtering

Detection and tracking algorithms

Nonlinear filtering

Optical filters

Image processing

Selenium

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