Covariance-based approach to texture processing

Applied Optics

Volumn 35, Issue 5, 1996, Pages 848-853

  Liu, Z Q ^a   Madiraju, S V R ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 6044252466     PISSN: 1559128X     EISSN: 21553165     Source Type: Journal    
DOI: 10.1364/AO.35.000848     Document Type: Article

References (8)

1. R. M. Haralick, “Statistical and structural approaches to texture,” IEEE Proc. 67, 786-804 (1979).
2. R. L. Kashyap and A. Khotanzad, “A model-based method for rotation invariant texture classification,” IEEE Trans. Pattern Anal. and Mach. Intell. PAMI-8, 786-804 (1986).
3. J. You and H. A. Cohen, “Classification and segmentation of rotated and scaled textured images using tuned masks,” Pattern Recognition 26, 245-258 (1993).
4. K. I. Law, “Textured image segmentation,” Ph.D. dissertation (University of California, San Diego, Calif., 1980).
5. S. Madiraju, T. Caelli, and Z.-Q. Liu, “On the covariance technique for robust and rotation invariant texture processing,” Asian Conference on Computer Vision-93 (World Scientific, Singapore, 1994), pp. 171- 174.
6. J. Berkmann and T. Caelli, “Computation of surface geometry and segmentation using covariance techniques,” IEEE Trans. Pattern Anal. Mach. Intell. 16, 1114-1116 (1994).
7. K. Fukunaga, Statistical Pattern Recognition (Academic, New York, 1974).
8. P. Brodatz, Texture—A Photographic Album for Artists and Designers (Reinhold, New York, 1968).