Content area
Full Text
Abstract
In steel manufacturing process, flat products are greatly concerned with the surface quality and the possibilities of its on-line inspection. The visual control is obviously unable to continuously check the surface of the moving product, and the control at the ending stage remains not suitable although, it may provide information about process trends and parameters history. So, strip surface defects that are not detected yield to product downgrading or to costly rework operations for producer and/or end users. With such needed quality level, steel surface inspection systems are more and more implemented for detecting defects and allowing correction at appropriate time. Based on Computer vision, these applications make a use of detection and classification algorithms to identify these arising defects. The present work is related to a Project of a scientific and economic impact: The Development of an on-line inspection system for strip surface defects identification during the thermo-mechanical treatment in hot rolling process. We asses, in this work, some approaches in labeling each of the defects belonging to a database created for this aim. This Dataset is compound of five, among the most frequent, surface defect types and with 108 variants of each one. Obtained results shown the importance of the choice of a relevant image features extractor.
Keywords: Computer vision, Detection & Classification, Rolling process, Quality & Surface defects
(ProQuest: ... denotes formulae omitted.)
1. General issue
In steel industry, the ongoing objective is the control of parameters at all stages of the process, for providing a product with the required material grade, homogeneity, geometry and even the surface characteristics. In fact, any non-compliance of the product with requirements may lead to needless additional expenses caused by the product downgrading or its rejection and in the worst case, by the disturbance of the production. As in steel strips manufacturing, the surface condition is an important quality indicator and producing strips with a free-defect surface is, still, a major challenge owing to the random occurrence, the complexity and the variety of such defects.
2. Introduction
The ever-increasing need of surface quality of flat products and particularly steel strip pushed producers and developers to implement computer vision based automatic inspection systems; to identify, on-line, the occurring defects and to apply, in time, the...