An automatic assessment scheme for steel quality inspection

This paper presents an automatic system for steel quality assessment, by measuring textural properties of carbide distributions. In current steel inspection, specially etched and polished steel specimen surfaces are classified manually under a light microscope, by comparisons with a standard chart. This procedure is basically two-dimensional, reflecting the size of the carbide agglomerations and their directional distribution. To capture these textural properties in terms of image features, we first apply a rich set of imageprocessing operations, including mathematical morphology, multi-channel Gabor filtering, and the computation of texture measures with automatic scale selection in linear scalespace. Then, a feature selector is applied to a 40-dimensional feature space, and a classification scheme is defined, which on a sample set of more than 400 images has classification performance values comparable to those of human metallographers. Finally, a fully automatic inspection system is...

• Type: Journal
• Year: 2000
• Where: MVA
• Authors: Klaus Wiltschi, Axel Pinz, Tony Lindeberg
• Keywords: Automatic Scale Selection, Carbide, MVA 2000, MVA 2007, Textural Properties