Paper
16 May 2017 Smart image selection algorithm in analysis plane of the optical-electronic angle measuring sensor
Anton Nogin, Igor Konyakhin
Author Affiliations +
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.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Anton Nogin and Igor Konyakhin "Smart image selection algorithm in analysis plane of the optical-electronic angle measuring sensor", Proc. SPIE 10231, Optical Sensors 2017, 102310I (16 May 2017); https://doi.org/10.1117/12.2264649
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Cited by 1 scholarly publication.
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KEYWORDS
Sensors

Image sensors

Algorithm development

Autocollimation

Control systems

Detection and tracking algorithms

Reflectors

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