Texture detection and texture discrimination with anisotropic scaling indices

Journal of the Optical Society of America A: Optics and Image Science, and Vision

Volumn 14, Issue 12, 1997, Pages 3208-3215

  Räth, Christoph ^a   Morfill, Gregor ^a  

^a MAX PLANCK INSTITUT FÜR EXTRATERRESTRISCHE PHYSIK   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0000070949     PISSN: 10847529     EISSN: 15208532     Source Type: Journal    
DOI: 10.1364/JOSAA.14.003208     Document Type: Article

References (31)

1. D. Sagi and B. Julesz, “’Where’ and ‘what’ in vision,” Science 228, 1217–1219 (1985).
2. A. Treisman, “Preattentive processing in vision,” Comput. Vis. Graph. Image Process. 31, 156–177 (1985).
3. M. Tuceryan, and A. K. Jain, “Texture analysis,” in Handbook of Pattern Recognition and Computer Vision, C. H. Cheng, L. F. Pau, and P. S. P. Wang, eds. (World Scientific, Singapore, 1993), pp. 235–276.
4. B. Julesz, “A brief outline of the texton theory of human vision,” Trends Neurosci. 7, 41–45 (1984).
5. B. Julesz, “Textons, the elements of texture perception, and their interactions,” Nature (London) 290, 91–97 (1981).
6. J. Bergen and B. Julesz, “Parallel versus serial processing in rapid pattern discrimination,” Nature (London) 303, 696–698 (1983).
7. A. Treisman and G. Gelade, “A feature-integration theory of attention,” Cogn. Psychol. 12, 97–136 (1980).
8. R. M. Haralick, “Statistical and structural approaches to texture,” Proc. IEEE 67, 786–804 (1979).
9. B. Julesz, “Early vision and focal attention,” Rev. Mod. Phys. 63, 735–772 (1991).
10. B. S. Rubenstein and D. Sagi, “Spatial variability as a limiting factor in texture-discrimination tasks: implications for performance asymmetries,” J. Opt. Soc. Am. A 7, 1632–1643 (1990).
11. P. Grassberger, R. Badii, and A. Politi, “Scaling laws for in variant measures on hyperbolic and nonhyperbolic attractors,” J. Stat. Phys. 51, 135–178 (1988).
12. T. C. Halsley, M. H. Jensen, L. P. Kadanoff, I. Procaccia, and B. I. Shraiman, “Fractal measures and their singularities: the characterization of strange sets,” Phys. Rev. A 33, 1141–1151 (1986).
13. R. Benzi, G. Paladin, G. Parisi, and A. Vulpiani, “On the multifractal nature of fully developed turbulence and chaotic systems,” J. Phys. A 17, 3521–3531 (1984).
14. J. Bergen and B. Julesz, “Rapid discrimination of visual patterns,” IEEE Trans. Syst. Man Cybern. 13, 857–863 (1983).
15. B. Julesz,”Texton gradients: the texton theory revisited,” Biol. Cybern. 54, 245–251 (1986).
16. J. Beck, “Similarity grouping and peripheral dicriminability under uncertainty,” Am. J. Psychol. 85, 1–19 (1972).
17. J. Beck, “Textural segmentation,” in Organization and Representation in Perception, J. Beck, ed. (Erlbaum, Hillsdale, N.J., 1982), pp.
18. J. Beck, K. Prazdny, and A. Rosenfeld, Human and Machine Vision (Academic, New York, 1983), pp. 1–38.
19. H. Atmanspacher, C. Rath, and G. Wiedenmann, “Statistics and meta-statistics in the concept of complexity,” Physica A 234, 819–829 (1997).
20. W. Feller, An Introduction to Probability Theory and Its Applications (Wiley, New York, 1971).
21. M. Sterzig, J. M. Alcala, R. Neuhauser, and J. H. M. M. Schmitt, “The spatial distribution of x-ray selected T-Tauri stars,” Astron. Astrophys. 297, 418–426 (1995).
22. T. Prusti, H.-M. Adorf, and E. J. A. Meurs, “Young stellar objects in the IRAS Point Source Catalog,” Astron. Astrophys. 261, 685–693 (1992).
23. C. Chubb, J. Econopouly, and M. S. Landy, “Histogram contrast analysis and the visual segregation of IID textures,” J. Opt. Soc. Am. A 11, 2350–2374 (1994).
24. R. M. Haralick, “Performance characterization in computer vision,” Comput. Vis. Graph. Image Process. 60, 245–249 (1994).
25. L. Cinque, C. Guerra, and S. Levialdi, “On the paper by R. M. Haralick,” Comput. Vis. Graph. Image Process. 60, 250–252 (1994).
26. J. Weng and T. S. Huang, “Performance of computer vision algorithms,” Comput. Vis. Graph. Image Process. 60, 253–256 (1994).
27. P. Meer, “Computer vision: the goal and the means,” Comput. Vis. Graph. Image Process. 60, 257–259 (1994).
28. Y. Shirai, “Performance characterization in computer vision,” Comput. Vis. Graph. Image Process. 60, 260–261 (1994).
29. B. A. Draper and J. R. Beveridge, “Response to ‘Performance characterization in computer vision,’ “ Comput. Vis. Graph. Image Process. 60, 262–263 (1994).
30. R. M. Haralick, “Comments on performance characterization replies,” Comput. Vis. Graph. Image Process. 60, 264–265 (1994).
31. A. Horsch, W. Stolz, A. Neiss, W. Abmayr, R. Pompl, A. Bernklau, W. Bunk, D. Dersch, A. Glass, R. Schiffner, and G. Morfill, “Improving early recognition of malignant melanoms by digital image analysis in dermatoscopy,” in Medical Informatics Europe, C. Pappas, N. Maglaveras, and J.-R. Scherrer, eds. (IOS Press, Amsterdam, 1997), pp. 531–535.