Visual Measurement of Material Segregation in Steel Wires
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Date
2014-03-25
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Mark
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Elsevier
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Abstract
In this article we introduce a visual measurement system intended for an automatic determination of material segregation in steel wires as a feedback quality control. Our system is based on an image processing which represents a non-destructive field in measurement area. Until our automated inspection system has been deployed, the measurement of segregation level was accomplished by a human inspector who represents inexact and subjective evaluation. Moreover our automated classification of individual steel wires is based on a certified official regulation. The mentioned automated classification of wires into pre-defined classes is carried out by a sequence of image processing steps. All these steps are progressively described in this article in-depth.
In this article we introduce a visual measurement system intended for an automatic determination of material segregation in steel wires as a feedback quality control. Our system is based on an image processing which represents a non-destructive field in measurement area. Until our automated inspection system has been deployed, the measurement of segregation level was accomplished by a human inspector who represents inexact and subjective evaluation. Moreover our automated classification of individual steel wires is based on a certified official regulation. The mentioned automated classification of wires into pre-defined classes is carried out by a sequence of image processing steps. All these steps are progressively described in this article in-depth.
In this article we introduce a visual measurement system intended for an automatic determination of material segregation in steel wires as a feedback quality control. Our system is based on an image processing which represents a non-destructive field in measurement area. Until our automated inspection system has been deployed, the measurement of segregation level was accomplished by a human inspector who represents inexact and subjective evaluation. Moreover our automated classification of individual steel wires is based on a certified official regulation. The mentioned automated classification of wires into pre-defined classes is carried out by a sequence of image processing steps. All these steps are progressively described in this article in-depth.
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Procedia Engineering. 2014, vol. 69, issue 1, p. 518-525.
http://www.sciencedirect.com/science/article/pii/S1877705814002677
http://www.sciencedirect.com/science/article/pii/S1877705814002677
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en
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Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 Unported
http://creativecommons.org/licenses/by-nc-nd/3.0/
http://creativecommons.org/licenses/by-nc-nd/3.0/