Abstract
In this paper, the problem of automatic visual inspection of textured surfaces is addressed. In particular, a technique for crack detection on both regularly and randomly textured images is presented. The technique is based on a new measure of texture anisotropy that allows an easy discrimination between defect pixels and defect-free ones. This technique was used to detect cracks on granite slabs. The reported results confirm its effectiveness.
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© 1995 Springer-Verlag Berlin Heidelberg
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Bruzzone, L., Roli, F., Serpico, S.B. (1995). Crack detection by a measure of texture anisotropy. In: Braccini, C., DeFloriani, L., Vernazza, G. (eds) Image Analysis and Processing. ICIAP 1995. Lecture Notes in Computer Science, vol 974. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60298-4_341
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DOI: https://doi.org/10.1007/3-540-60298-4_341
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