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The paper deals with digital image processing methods, related to rolling mill. Image processing is a method, which is used to harvest useful data from digital images. It is no so common to use this term with rolling mill, but contrary is the case. The present state of rolling mill uses an operator to guide the billets to the mill. This is an exhausting job, focusing on concentration. In the past, there were many attempts to automate this task, but without success. The problem is to determine exact position of the billet and then its proper guidance to the center of the mill. Modern trends in the development of automation in the metallurgical industry are characterized by the widespread use of information technology. Today, automated control systems are used in all modern companies in the metallurgical industry and the tendency of their involvement is increasing. The use of such systems makes it possible to ensure the continuous operation of the equipment and to minimize unplanned downtime. The main goal of the article is to show the use of digital image processing methods for rolling automation processes.
Keywords: Rolling, digital image processing, automatization© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.