The computation of orientation statistics from visual texture

Vision Research

Volumn 37, Issue 22, 1997, Pages 3181-3192

  Dakin, S C ^a,b   Watt, R J ^a  

^a UNIVERSITY OF STIRLING   (United Kingdom)

^b MCGILL UNIVERSITY   (Canada)

Author keywords

Centroid; Orientation; Resolution; Scale; Texture

Indexed keywords

ARTICLE; COMPARATIVE STUDY; CONTROLLED STUDY; HUMAN; HUMAN EXPERIMENT; NORMAL HUMAN; PRIORITY JOURNAL; SPATIAL ORIENTATION; STATISTICAL ANALYSIS; TASK PERFORMANCE; VISUAL DISCRIMINATION; VISUAL STIMULATION; VISUAL THRESHOLD;

DISCRIMINATION (PSYCHOLOGY); HUMANS; NORMAL DISTRIBUTION; PATTERN RECOGNITION, VISUAL; PHOTIC STIMULATION; SENSORY THRESHOLDS;

EID: 0030829907     PISSN: 00426989     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0042-6989(97)00133-8     Document Type: Article

References (32)

1. Badcock, D. & Westheimer, G. (1985). Spatial localization and hyperacuity: the centre/surround localization contribution function has two substrates. Vision Research, 25, 1259-1267.
2. Barlow, H. (1980). The absolute efficiency of perceptual decisions. Philosophical Transactions of the Royal Society of London B, 290, 71-82.
3. Blake, A. & Marinos, C. (1990). Shape from texture: estimation, isotropy and moments. Artificial Intelligence, 45, 323-380.
4. Dakin, S. C. (1997). The detection of structure in Glass patterns: psychophysics and computational models. Vision Research, 37, 2227-2246.
5. Fogel, I. & Sagi, D. (1989). Gabor filters as texture discriminator. Biological Cybernetics, 61, 103-113.
6. Heeley, D. W. & Buchanan-Smith, H. M. (1990). Recognition of stimulus orientation. Vision Research, 30, 1429-1437.
7. Heeley, D. W. & Timney, B. (1988). Meridional anisotropies or orientation discrimination for sine wave gratings. Vision Research, 28, 337-344.
8. Hubel, D. & Wiesel, T. (1967). Receptive fields, binocular interaction and functional architecture in the cats' visual cortex. Journal of Physiology, 160, 106-154.
9. Julesz, B. (1981). Textons, the elements of texture perception, and their interactions. Nature, 290, 91-97.
10. Kass, M. & Witkin, A. (1985) Analyzing oriented patterns. In Proceedings of the Ninth International Joint Conference on Artificial Intelligence, (pp. 944-952). Los Angeles, CA.
11. Keeble, D. R. T., Kingdom, F. A. A., Moulden, B. & Morgan, M. J. (1995). Detection of orientationally multimodal textures. Vision Research, 14, 1991-2005.
12. Kingdom, F. A. A., Keeble, D. & Moulden, B. (1995). Sensitivity to orientation modulation in micropattern-based textures. Vision Research, 35, 79-91.
13. Landy, M. S. & Bergen, J. R. (1991). Texture segregation and orientation gradient. Vision Research, 31, 679-691.
14. Marr, D. (1982). Vision. San Francisco, CA: Freeman.
15. Matin, E. & Drivas, A. (1979). Acuity for orientation measured with a sequential recognition task and signal detection methods. Perception and Psychophysics, 25, 161-168.
16. Matin, E., Rubsamen, C. & Vannata, D. (1987). Orientation discrimination as a function of orientation and spatial frequency Perception and Psychophysics, 41, 307-404.
17. Nothdurft, H. C. (1991). Texture segmentation and pop-out from orientation contrast. Vision Research, 31, 1073-1078.
18. Paradiso, M. (1988). Theory for the use of visual orientation information which exploits the columnar structure of striate cortex. Biological Cybernetics, 58, 35-49.
19. Paradiso, M. A., Carney, T. & Freeman, R. D. (1989). Cortical processing of hyperacuity tasks. Vision Research, 29, 247-254.
20. Phillips, G. & Wilson, H. (1983). Orientation bandwidths of spatial mechanisms measured by masking. Journal of the Optical Society of America, 62, 226-232.
21. Sagi, D. (1990). Detection of an orientation singularity in Gabor textures: effect of signal density and spatial-frequency. Vision Research, 30, 1377-1388.
22. Sagi, D. & Julesz, B. (1987). Short-range limitation on detection of feature differences. Spatial Vision, 2, 39-49.
23. Treisman, A. & Gormican, S. (1988). Feature analysis in early vision: evidence from search asymmetries. Psychological Review, 95, 15-48.
24. Vogels, R. & Orban, G. A. (1985). The effect of practice on the oblique effect in line orientation judgements. Vision Research, 25, 1679-1687.
25. Vorhees, H. & Poggio, T. (1987). Detecting textons and texture boundaries in natural images. In Proceedings of the First International Conference on Computer Vision (pp. 250-258).
26. Watt, R. J. (1991). Understanding vision. Academic Press, London.
27. Watt, R. J. & Andrews, D. (1981). APE: Adaptive probit estimation of psychometric functions. Current Psychological Review, 1, 205-214.
28. Watt, R. J. & Morgan, M. J. (1983). Mechanisms responsible for the assessment of visual location: theory and evidence. Vision Research, 23, 97-109.
29. Whitaker, D. & Walker, H. (1988). Centroid evaluation in the vernier alignment of random dot clusters. Vision Research, 28, 777-784.
30. Wilson, H. & Gelb, D. (1984). Modified line-element theory for spatial-frequency and width discrimination. Journal of the Optical Society of America A, 1, 124-131.
31. Witkin, A. (1981). Recovering surface shape and orientation from texture. Artificial Intelligence, 17, 17-47.
32. Wolfson, S. S. & Landy, M. S. (1995). Discrimination of orientation-defined texture edges. Vision Research, 35, 2863-2877.