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Proceedings Paper

Experiments with two industrial problems using texture classification based on feature distributions
Author(s): Matti Pietikaeinen; Timo Ojala; Jarkko Nisula; Jouni Heikkinen
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Paper Abstract

Our recent research results indicate that a very good texture discrimination can be obtained by using simple texture measures based on gray level differences or local binary patterns, for example, with a classification principle based on a comparison of distributions of feature values. In this paper two case studies dealing with the problems of determining the composition of mixtures of materials and metal strip inspection are considered.

Paper Details

Date Published: 13 October 1994
PDF: 8 pages
Proc. SPIE 2354, Intelligent Robots and Computer Vision XIII: 3D Vision, Product Inspection, and Active Vision, (13 October 1994); doi: 10.1117/12.189087
Show Author Affiliations
Matti Pietikaeinen, Univ. of Oulu (Finland)
Timo Ojala, Univ. of Oulu (Finland)
Jarkko Nisula, Univ. of Oulu (Finland)
Jouni Heikkinen, Univ. of Oulu (Finland)


Published in SPIE Proceedings Vol. 2354:
Intelligent Robots and Computer Vision XIII: 3D Vision, Product Inspection, and Active Vision
David P. Casasent, Editor(s)

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