doi 10.18503/2311-8318-2016-1(30)-45-51
Abstract
The purpose of the present research is to increase information reliability of surface images defects recognition in the automatic mode on the basis of a subsystem of intellectual support for decision-making in the cold rolled steel surface quality assessment control system. To achieve the purpose, the research was carried out is on the structure of cold rolled steel multistage production management, tuples of interconnected process parameters with the structure of the cold rolled steel surface images were defined, selection of texture features of the images was carried out and a scheme of the interaction of modules of the structural features classification system was developed. The research was carried in the period of June – July 2015 under conditions of the sheet rolling shop of one of the largest industrial metallurgical works in the Russian Federation. Methods of system analysis, images classification, Haralick's texture features were used. The main result of the research is a scheme of the interaction of the modules of the images structure features classification system, which makes it possible to design and develop software to improve information reliability in the intelligent decision support system for the management of the cold-rolled sheet production process.
Keywords
Cold rolled sheet, surface quality, Haralick's texture features, texture image, multistage production management.
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