<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The paper presents an overview of the image-processing techniques. The set of basic theoretical instruments includes methods of mathematical analysis, linear algebra, probability theory and mathematical statistics, theory of digital processing of one-dimensional and multidimensional signals, wavelet-transforms and theory of information. This paper describes a methodology that aims to detect and diagnose faults, using thermographs approaches for the digital image processing technique.</p></abstract>

The paper presents an overview of the image-processing techniques. The set of basic theoretical instruments includes methods of mathematical analysis, linear algebra, probability theory and mathematical statistics, theory of digital processing of one-dimensional and multidimensional signals, wavelet-transforms and theory of information. This paper describes a methodology that aims to detect and diagnose faults, using thermographs approaches for the digital image processing technique.

Image Processing for Technological Diagnostics of Metallurgical Facilities

Institute of Information and Communication Technologies, 1113 Sofia

University of Chemical Technology and Metallurgy, 1756 Sofia

Institute of System Engineering and Robotics, 1113 Sofia

Cybernetics and Information Technologies

{"article-title":"Image Processing for Technological Diagnostics of Metallurgical Facilities"}

The paper presents an overview of the image-processing techniques. The set of basic theoretical instruments includes methods of mathematical analysis, linear...

Image Processing for Technological Diagnostics of Metallurgical Facilities

Online veröffentlicht: 22. März 2013

Seitenbereich: 66 - 76

DOI: https://doi.org/10.2478/cait-2012-0031

Schlüsselwörter
Technological diagnostics, digital image processing, predictive maintenance, fault detection

This content is open access.

Image Processing for Technological Diagnostics of Metallurgical Facilities

Online veröffentlicht: 22. März 2013

Seitenbereich: 66 - 76

DOI: https://doi.org/10.2478/cait-2012-0031

SchlüsselwörterTechnological diagnostics, digital image processing, predictive maintenance, fault detection

This content is open access.

Schlüsselwörter
Technological diagnostics, digital image processing, predictive maintenance, fault detection