Abstract
Five properties of texture, namely, coarseness, contrast, business, complexity, and texture strength, are given conceptual definitions in terms of spatial changes in intensity. These conceptual definitions are then approximated in computational forms. In comparison with human perceptual measurements, the computational measures have shown good correspondences in the rank ordering of ten natural textures. The extent to which the measures approximate visual perception was investigated in the form of texture similarity measurements. These results were also encouraging, although not as good as in the rank ordering of the textures. The differences may be due to the complex mechanism of human usage of multiple cues. Improved classification results were obtained using the above features as compared with two existing texture analysis techniques. The application of the features in agricultural land-use classification is considered.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Keywords
Texture (cosmology)Rank (graph theory)Similarity (geometry)PerceptionContrast (vision)Artificial intelligenceComputer sciencePattern recognition (psychology)Natural (archaeology)MathematicsImage (mathematics)CombinatoricsPsychologyGeography
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Publication Info
- Year
- 1989
- Type
- article
- Volume
- 19
- Issue
- 5
- Pages
- 1264-1274
- Citations
- 1114
- Access
- Closed
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Cite This
M. Amadasun,
Robert A. King
(1989).
Textural features corresponding to textural properties.
IEEE Transactions on Systems Man and Cybernetics
, 19
(5)
, 1264-1274.
https://doi.org/10.1109/21.44046
Identifiers
- DOI
- 10.1109/21.44046