Abstract
Laws has introduced a class of texture features based on average degrees of match of the pixel neighbourhoods with a set of standard masks. These features yield better texture classification than standard features based on pairs of pixels. Simplifications of these features are investigated. Their performance is not greatly affected by their exact form and also appears to remain the same if only local match maxima are used. An alternative definition of such features is also presented, based on sums and differences of Gaussian convolutions.
Keywords
Texture (cosmology)Pattern recognition (psychology)PixelMathematicsGaussianArtificial intelligenceMaximaClass (philosophy)Set (abstract data type)Standard deviationMaxima and minimaComputer scienceStatisticsImage (mathematics)Mathematical analysisPhysics
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Publication Info
- Year
- 1983
- Type
- article
- Volume
- SMC-13
- Issue
- 3
- Pages
- 421-426
- Citations
- 90
- Access
- Closed
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Cite This
Matti Pietikäinen,
Azriel Rosenfeld,
Larry S. Davis
(1983).
Experiments with texture classification using averages of local pattern matches.
IEEE Transactions on Systems Man and Cybernetics
, SMC-13
(3)
, 421-426.
https://doi.org/10.1109/tsmc.1983.6313175
Identifiers
- DOI
- 10.1109/tsmc.1983.6313175