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Title of Article

IDENTIFICATION OF SURFICE FLAWS IN ROLLED metal SHEETS USING THE WAVELET ANALYSIS OF CONTROLLED-RESOLUTION IMAGES


Issue
1
Date
2013

Article type
scientific article
UDC
519.92
Pages
84-91
Keywords
automated flaw identification, wavelet analysis of images, parallel filtration algorithm.


Authors
Solovev Nikolay Alekseevich
Nizhegorodskiy gosudarstvennyy pedagogicheskiy universitet

Lesovoy Dmitriy Andreevich
Nizhegorodskiy gosudarstvennyy pedagogicheskiy universitet

Kuzmin Mikhail Ivanovich
Nizhegorodskiy gosudarstvennyy pedagogicheskiy universitet


Abstract
The problem of automatically identifying surface flows in rolled metal sheets is considered to adapt an automated control system of a rolling mill for curable flows in the process of production. A model is presented that makes it possible to use the wavelet analysis in solving the flaw identification problem. The algorithm of the wavelet analysis is modified for a matrix-form analysis providing for the parallelization of the data. Resolution levels for curable and non-curable flaws are determined experimentally, ways of the on-line flaw identification are found.

File (in Russian)