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.
Keywords
Texture (cosmology)Pattern recognition (psychology)Feature (linguistics)Artificial intelligenceLocal binary patternsBinary numberComputer scienceGray (unit)Binary classificationFeature extractionImage textureGray levelMathematicsPixelImage processingImage (mathematics)Support vector machineHistogramArithmetic
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Publication Info
- Year
- 1994
- Type
- article
- Volume
- 2354
- Pages
- 197-204
- Citations
- 26
- Access
- Closed
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Cite This
Matti Pietikaeinen,
Timo Ojala,
Jarkko Nisula
et al.
(1994).
<title>Experiments with two industrial problems using texture classification based on feature distributions</title>.
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
, 2354
, 197-204.
https://doi.org/10.1117/12.189087
Identifiers
- DOI
- 10.1117/12.189087