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Proceedings Paper

Texture defect detection: a review
Author(s): K. Y. Song; Maria Petrou; Josef Kittler
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Paper Abstract

Machine vision and automatic inspection has been an active field of research during the past few years. In this paper, we review the texture defect detection methods used at present. We classify them in two major categories, global and local, and we discuss briefly the major approaches that have been proposed.

Paper Details

Date Published: 1 March 1992
PDF: 8 pages
Proc. SPIE 1708, Applications of Artificial Intelligence X: Machine Vision and Robotics, (1 March 1992); doi: 10.1117/12.58564
Show Author Affiliations
K. Y. Song, Univ. of Surrey (United Kingdom)
Maria Petrou, Univ. of Surrey (United Kingdom)
Josef Kittler, Univ. of Surrey (United Kingdom)


Published in SPIE Proceedings Vol. 1708:
Applications of Artificial Intelligence X: Machine Vision and Robotics
Kevin W. Bowyer, Editor(s)

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