Metric Vision Methods for Material and Product Inspection

Research output: ThesisDoctoral Thesis

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Metric Vision Methods for Material and Product Inspection. / Schalk, Peter.
2007. 121 p.

Research output: ThesisDoctoral Thesis

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@phdthesis{0681e03d706444ceb5a688c5605cd2a9,
title = "Metric Vision Methods for Material and Product Inspection",
abstract = "This thesis deals with topics central to metric vision, i.e. the use of digital image processing techniques to gain quantitative information about position, orientation, dimensions and shape of objects. Measurements are based on extraction of points from images and fitting of geometric models to these noisy data points. An analytic and a stochastic approach to estimate the uncertainty of measurement results are presented. The error propagation in line and circle fitting algorithms and in the derivation of results from the fitted parameters is quantified. All investigations consider the correlations between fitting parameters. A special issue of research is the reconstruction of convex Jordan curves from curvature data. Two algorithms based on differential geometry are designed and tested for specific parameterizations of the curvatures. Based on this reconstruction, a profile measurement system for rotating objects is implemented as a quality control system for seamless pipes. The eccentricity of a rotating pipe is used as a measure of its straightness. The circularity of the pipe is determined by reconstructing its cross sectional profile. A video extensometer developed for strain measurement of hot glowing material enables the determination of properties of refractory material at temperatures up to 1400°C. Specific influence factors on the measurement uncertainty are identified.",
keywords = "Bildverarbeitung, digitale Messtechnik, Messunsicherheit, Fehlerfortpflanzung, Videoextensometrie, Kurvenrekonstruktion, digital image processing, metrology, measurement uncertainty, error propagation, video extensometry, curve reconstruction",
author = "Peter Schalk",
note = "no embargo",
year = "2007",
language = "English",

}

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TY - BOOK

T1 - Metric Vision Methods for Material and Product Inspection

AU - Schalk, Peter

N1 - no embargo

PY - 2007

Y1 - 2007

N2 - This thesis deals with topics central to metric vision, i.e. the use of digital image processing techniques to gain quantitative information about position, orientation, dimensions and shape of objects. Measurements are based on extraction of points from images and fitting of geometric models to these noisy data points. An analytic and a stochastic approach to estimate the uncertainty of measurement results are presented. The error propagation in line and circle fitting algorithms and in the derivation of results from the fitted parameters is quantified. All investigations consider the correlations between fitting parameters. A special issue of research is the reconstruction of convex Jordan curves from curvature data. Two algorithms based on differential geometry are designed and tested for specific parameterizations of the curvatures. Based on this reconstruction, a profile measurement system for rotating objects is implemented as a quality control system for seamless pipes. The eccentricity of a rotating pipe is used as a measure of its straightness. The circularity of the pipe is determined by reconstructing its cross sectional profile. A video extensometer developed for strain measurement of hot glowing material enables the determination of properties of refractory material at temperatures up to 1400°C. Specific influence factors on the measurement uncertainty are identified.

AB - This thesis deals with topics central to metric vision, i.e. the use of digital image processing techniques to gain quantitative information about position, orientation, dimensions and shape of objects. Measurements are based on extraction of points from images and fitting of geometric models to these noisy data points. An analytic and a stochastic approach to estimate the uncertainty of measurement results are presented. The error propagation in line and circle fitting algorithms and in the derivation of results from the fitted parameters is quantified. All investigations consider the correlations between fitting parameters. A special issue of research is the reconstruction of convex Jordan curves from curvature data. Two algorithms based on differential geometry are designed and tested for specific parameterizations of the curvatures. Based on this reconstruction, a profile measurement system for rotating objects is implemented as a quality control system for seamless pipes. The eccentricity of a rotating pipe is used as a measure of its straightness. The circularity of the pipe is determined by reconstructing its cross sectional profile. A video extensometer developed for strain measurement of hot glowing material enables the determination of properties of refractory material at temperatures up to 1400°C. Specific influence factors on the measurement uncertainty are identified.

KW - Bildverarbeitung

KW - digitale Messtechnik

KW - Messunsicherheit

KW - Fehlerfortpflanzung

KW - Videoextensometrie

KW - Kurvenrekonstruktion

KW - digital image processing

KW - metrology

KW - measurement uncertainty

KW - error propagation

KW - video extensometry

KW - curve reconstruction

M3 - Doctoral Thesis

ER -