Experiments with two industrial problems using texture classification based on feature distributions

Matti Pietikaeinen; Timo Ojala; Jarkko Nisula; Jouni Heikkinen

doi:10.1117/12.189087

13 October 1994 Experiments with two industrial problems using texture classification based on feature distributions

Matti Pietikaeinen, Timo Ojala, Jarkko Nisula, Jouni Heikkinen

Proceedings Volume 2354, Intelligent Robots and Computer Vision XIII: 3D Vision, Product Inspection, and Active Vision; (1994) https://doi.org/10.1117/12.189087
Event: Photonics for Industrial Applications, 1994, Boston, MA, United States

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.

Citation Download Citation

Matti Pietikaeinen, Timo Ojala, Jarkko Nisula, and Jouni Heikkinen "Experiments with two industrial problems using texture classification based on feature distributions", Proc. SPIE 2354, Intelligent Robots and Computer Vision XIII: 3D Vision, Product Inspection, and Active Vision, (13 October 1994); https://doi.org/10.1117/12.189087

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