Vertical position identification of the machine vision system in the mineshaft for the purposes of diagnostic image processing of the mineshaft lining surface

Henryk Kleta; Adam Heyduk; Jarosław Joostberens

doi:10.1201/b18506

Vertical position identification of the machine vision system in the mineshaft for the purposes of diagnostic image processing of the mineshaft lining surface

Department of Electrical Engineering and Automation in Industry (RG/RG1)

Silesian University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

The paper presents some problems of mineshaft technical condition assessment. These problems are particularly important in the case of mineshaft with no hoisting machines. There has been described a detailed example of insulating dam technical condition analysis. Particular attention has been paid to scale coefficient values for conversion from image dimensions to real world dimensions. Because values of these coefficients heavily depend on the distance between camera and the lining surface, a vertical position identification algorithm has been updated with a distance compensation formula.

Original language	English
Title of host publication	Vertical and Decline Shaft Sinking
Subtitle of host publication	Good Practices in Technique and Technology, International Mining Forum 2015
Publisher	CRC Press
Pages	157-166
Number of pages	10
ISBN (Electronic)	9781315683836
ISBN (Print)	9781138028203
DOIs	https://doi.org/10.1201/b18506
Publication status	Published - 1 Jan 2015

ASJC Scopus subject areas

General Engineering

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10.1201/b18506

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Kleta, H., Heyduk, A., & Joostberens, J. (2015). Vertical position identification of the machine vision system in the mineshaft for the purposes of diagnostic image processing of the mineshaft lining surface. In Vertical and Decline Shaft Sinking: Good Practices in Technique and Technology, International Mining Forum 2015 (pp. 157-166). CRC Press. https://doi.org/10.1201/b18506

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Kleta, H, Heyduk, A & Joostberens, J 2015, Vertical position identification of the machine vision system in the mineshaft for the purposes of diagnostic image processing of the mineshaft lining surface. in Vertical and Decline Shaft Sinking: Good Practices in Technique and Technology, International Mining Forum 2015. CRC Press, pp. 157-166. https://doi.org/10.1201/b18506

Vertical position identification of the machine vision system in the mineshaft for the purposes of diagnostic image processing of the mineshaft lining surface. / Kleta, Henryk; Heyduk, Adam ; Joostberens, Jarosław.
Vertical and Decline Shaft Sinking: Good Practices in Technique and Technology, International Mining Forum 2015. CRC Press, 2015. p. 157-166.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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Vertical position identification of the machine vision system in the mineshaft for the purposes of diagnostic image processing of the mineshaft lining surface

Abstract

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