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The article is concerned with the results of research of sulphur print images of transverse template of a continuous cast billet. It is believed that the reliability of information about the billet quality is quite low. Visual assessment of the image results in a subjective estimation, which is influenced greatly by human factor. The authors developed a scheme of control points distribution aimed at graphic information acquisition in the process of billet manufacture.

It was suggested to divide the images into three classes by the object (template) brightness-background ratio. In the course of algorithm sophistication the authors offered a cascade method of image classification. The method consists of image assessment by shape forming characteristics of the histogram, by the distance to the reference normalized histograms and on the basis of fuzzy logic methods.

The following results were obtained in the course of experimental operation of the cascade method: the simplified method making use of the shape forming characteristics uniquely identified 22% of all images, the simplified method taking into account the distance to the reference normalized histograms identified 70% of the remaining images and only fuzzy logic method made it possible to uniquely identify the rest of the images. The full classification can be achieved only when all cascades of the developed method are applied.


Sulphur print images, image histogram, shape forming characteristics, distance between the objects, rules of object identification, cascade classification.

Posokhov Ivan Aleksandrovich – senior lecturer, Department of Computer Science and Programming, Nosov Magnitogorsk State Technical University, Magnitogorsk.

Logunova Oksana Sergeevna – D.Sc.(Eng.), Associate Professor, Head of Department of Computer Science and Programming, Nosov Magnitogorsk State Technical University, Magnitogorsk.

Mikov Anatoliy Yuryevich – senior lecturer, Department of Computer Science and Programming, Nosov Magnitogorsk State Technical University, Magnitogorsk.

Matsko Igor Igorevich – Research and engineering center «Ausferr», Magnitogorsk.

Pavlov Vladimir Viktorovich – OJSC “MMK”, Magnitogorsk

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