Abstract
The paper describes algorithms used for the determination of pitch distances in the calibration of optical scales on a calibration machine. Two groups of algorithms are used: the non-contextual and the contextual ones. The first group is used to calculate the position of the edges in the digital image captured by the camera is either based on the gradient or the so called Laplacian method without any prior knowledge of the shape of the object. The contextual group of algorithm make use of the a priori knowledge of the edge or shape and its position. The information carried by gray level values of the pixelsenables us to reach subpixel resolution. The algorithms in the second group calculate the centreline of the graduation or measuring line either using Gabor transformation or from the centre of gravity formed by the gray values of the individual pixels. The resistance of the algorithms to various distortions on the scale was investigated. Finally the whole calibration system was described, uncertainty components are enumerated and experimental results are given.
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Hermann, G. (2013). Algorithms for Pitch Distance Determination. In: Madarász, L., Živčák, J. (eds) Aspects of Computational Intelligence: Theory and Applications. Topics in Intelligent Engineering and Informatics, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30668-6_3
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DOI: https://doi.org/10.1007/978-3-642-30668-6_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30667-9
Online ISBN: 978-3-642-30668-6
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