1 November 1994 New optoelectronic morphological scheme for multiple-object recognition
Zhongbing Yao, Minxian Wu, Guofan Jin, Guoliang Huang, Yingbai Yan
Author Affiliations +
Abstract
Based on the binary image algebra algorithm for a hit-or-miss transform of mathematical morphology, a new optoelectronic system with two parallel channels is set up for real-time multiple-object recognition. Two Dammann gratings are used for convolutions in morphological operations. The relation of rotation-recognizing sensitivity to the threshold values is discussed.
Zhongbing Yao, Minxian Wu, Guofan Jin, Guoliang Huang, and Yingbai Yan "New optoelectronic morphological scheme for multiple-object recognition," Optical Engineering 33(11), (1 November 1994). https://doi.org/10.1117/12.183390
Published: 1 November 1994
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CITATIONS
Cited by 7 scholarly publications and 2 patents.
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KEYWORDS
Convolution

Detection and tracking algorithms

Optoelectronics

Target recognition

Image processing

Mathematical morphology

Missiles

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