Abstract
Three standard approaches to automatic texture classification make use of features based on the Fourier power spectrum, on second-order gray level statistics, and on first-order statistics of gray level differences, respectively. Feature sets of these types, all designed analogously, were used to classify two sets of terrain samples. It was found that the Fourier features generally performed more poorly, while the other feature sets all performned comparably.
Keywords
Pattern recognition (psychology)TerrainArtificial intelligenceFeature (linguistics)Computer scienceTexture (cosmology)Gray (unit)Fourier transformStatisticsMathematicsCartographyGeographyImage (mathematics)
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Publication Info
- Year
- 1976
- Type
- article
- Volume
- SMC-6
- Issue
- 4
- Pages
- 269-285
- Citations
- 1521
- Access
- Closed
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Cite This
Joan S. Weszka,
Charles R. Dyer,
Azriel Rosenfeld
(1976).
A Comparative Study of Texture Measures for Terrain Classification.
IEEE Transactions on Systems Man and Cybernetics
, SMC-6
(4)
, 269-285.
https://doi.org/10.1109/tsmc.1976.5408777
Identifiers
- DOI
- 10.1109/tsmc.1976.5408777