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This article is cited in 1 scientific paper (total in 1 paper)
IMAGE PROCESSING, PATTERN RECOGNITION
Detection of retroreflective objects based on search for spatial anomalies
S. M. Borzov, O. I. Potaturkin, S. B. Usilov Institute of Automation and Electrometry, Siberian Branch of Russian Academy of Sciences, Novosibirsk
Abstract:
This work is devoted to the study of methods for detecting retroreflective objects, including optical and optoelectronic observation devices, based on the search for spatial anomalies in images formed in pulsed laser ranging systems. Algorithms, software and hardware for detecting retrore-flective objects have been developed. At the same time, special attention is paid to various ways of forming difference frames with periodic illumination, including with the preliminary replacement of each pixel of the background images by the maximum value for the corresponding neighborhood. The effectiveness of the proposed methods for detecting retroreflective objects exposed to bright sunlight, despite the presence of (mirror and diffuse) reflecting surfaces in the field of view, is demonstrated.
Keywords:
remote detection of retroreflective objects, formation of difference images, search for spatial anomalies, laser ranging
Received: 31.05.2021 Accepted: 30.08.2021
Citation:
S. M. Borzov, O. I. Potaturkin, S. B. Usilov, “Detection of retroreflective objects based on search for spatial anomalies”, Computer Optics, 46:1 (2022), 97–102
Linking options:
https://www.mathnet.ru/eng/co997 https://www.mathnet.ru/eng/co/v46/i1/p97
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