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Smart image selection algorithm in analysis plane of the optical-electronic angle measuring sensor
Author(s): Anton Nogin; Igor Konyakhin
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Paper Abstract

The article is based on some research which is considering the three-axis angle measuring autocollimation sensor and smart image selection algorithm for it. In order to measure angular displacements around the three main coordinate axes (OX, ОY, and ОZ), special control elements are used. The use of a special control element generally improves the characteristics of the device, but it creates a problem of label overlapping. This issue creates a zone of inoperability of the device and makes measurement and control impossible. In this paper, the algorithm is proposed, and the results of its testing are presented. This algorithm can reduce the malfunction area thereby The range of measurements is extending and accuracy at the label overlapping is increasing. Application of this algorithm in autocollimation sensors with a special control element allows to reduce the size and cost of such devices significantly, and also it allows to control two or three angles simultaneously. The algorithm uses the Hough transform to find intersecting labels, and the magnitude of the gradient vector is used as the weight function.

Paper Details

Date Published: 16 May 2017
PDF: 7 pages
Proc. SPIE 10231, Optical Sensors 2017, 102310I (16 May 2017); doi: 10.1117/12.2264649
Show Author Affiliations
Anton Nogin, ITMO Univ. (Russian Federation)
Igor Konyakhin, ITMO Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 10231:
Optical Sensors 2017
Francesco Baldini; Jiri Homola; Robert A. Lieberman, Editor(s)

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