Higher order texture statistics impair contrast boundary segmentation

Journal of Vision

Volumn 11, Issue 10, 2011, Pages 1-15

  Arsenault, Elizabeth ^a   Yoonessi, Ahmad ^a   Baker, Curtis ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

Higher order statistics; Psychophysics; Second order vision; Segmentation; Texture

Indexed keywords

EID: 80054708209     PISSN: None     EISSN: 15347362     Source Type: Journal    
DOI: 10.1167/11.10.1     Document Type: Article

References (62)

1. Adelson, E. H. (2001). On seeing stuff: The perception of materials by humans and machines. Proceedings of the SPIE, 4299, 1-12.
2. Allard, R., & Faubert, J. (2007). Double dissociation between first- and second-order processing. Vision Research, 47, 1129-1141.
3. Alvarez, G. A., & Oliva, A. (2008). The representation of simple ensemble visual features outside the focus of attention. Psychological Science, 19, 392-398.
4. Arbeláez, P., Maire, M., Fowlkes, C., & Malik, J. (2011). Contour detection and hierarchical image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33, 896-916.
5. Ariely, D. (2001). Seeing sets: Representation by statistical properties. Psychological Science, 12, 157-162.
6. Balas, B., Nakano, L., & Rosenholtz, R. (2009). A summary-statistic representation in peripheral vision explains visual crowding. Journal of Vision, 9(12):13, 1-18, http://www.journalofvision.org/content/9/12/13, doi:10.1167/9.12.13.
7. Balas, B. J. (2006). Texture synthesis and perception: Using computational models to study texture representations in the human visual system. Vision Research, 46, 299-309.
8. Beck, J. (1966). Effect of orientation and of shape similarity on perceptual grouping. Attention, Perception & Psychophysics, 1, 300-302.
9. Bergen, J. R. (1991). Theories of visual texture perception. In D. Regan (Ed.), Vision and visual dysfunction (vol. 10B, pp. 114-134). New York: Macmillan Press.
10. Bergen, J. R., & Adelson, E. H. (1988). Early vision and texture perception. Nature, 333, 363-364.
11. Bergen, J. R., & Julesz, B. (1983). Parallel versus serial processing in rapid pattern discrimination. Nature, 303, 696-698.
12. Bex, P. J. (2010). (In) Sensitivity to spatial distortion in natural scenes. Journal of Vision, 10(2):23, 1-15, http://www.journalofvision.org/content/10/2/23, doi:10.1167/10.2.23.
13. Bex, P. J., & Makous, W. (2002). Spatial frequency, phase, and the contrast of natural images. Journal of the Optical Society of America A, 19, 1096-1106.
14. Bex, P. J., Solomon, S. G., Dakin, S. C. (2009). Contrast sensitivity in natural scenes depends on edge as well as spatial frequency structure. Journal of Vision, 9(10):1, 1-19, http://www.journalofvision.org/content/9/10/1, doi:10.1167/9.10.1.
15. Brainard, D. H. (1997). The psychophysics toolbox. Spatial Vision, 10, 433-436.
16. Chong, S. C., & Treisman, A. (2003). Representation of statistical properties. Vision Research, 43, 393-404.
17. Chubb, C., & Yellott, J. I., Jr. (2000). Every discrete, finite image is uniquely determined by its dipole histogram. Vision Research, 40, 485-492.
18. Dakin, S. C., Hess, R. F., Ledgeway, T., & Achtman, R. L. (2002). What causes non-monotonic tuning of fMRI response to noisy images? Current Biology, 12, R476-R477.
19. Dakin, S. C., & Mareschal, I. (2000). Sensitivity to contrast modulation depends on carrier spatial frequency and orientation. Vision Research, 40, 311-329.
20. Durgin, F. H. (1995). Texture density adaptation and the perceived numerosity and density of texture. Journal of Experimental Psychology: Human Perception and Performance, 21, 149-169.
21. Durgin, F. H. (2008). Texture density adaptation and visual number revisited. Current Biology, 18, R855-R856.
22. Emrith, K., Chantler, M. J., Green, P. R., Maloney, L. T., & Clarke, A. D. F. (2010). Measuring perceived differences in surface texture due to changes in higher-order statistics. Journal of the Optical Society of America A, 27, 1232-1244.
23. Field, D. J. (1987). Relations between the statistics of natural images and the response properties of cortical cells. Journal of the Optical Society of America A, 4, 2379-2394.
24. Field, D. J. (1998). Visual coding, redundancy, and "feature detection". In M. A. Arbib (Ed.), The handbook of brain theory and neural networks (pp. 1012-1016). Cambridge, MA: MIT Press.
25. Graham, N., & Sutter, A. (1998). Spatial summation in simple (Fourier) and complex (non-Fourier) texture channels. Vision Research, 38, 231-257.
26. Graham, N., Sutter, A., & Venkatesan, C. (1993). Spatialfrequency-and orientation-selectivity of simple and complex channels in region segregation. Vision Research, 33, 1893-1911.
27. Hansen, B. C., & Hess, R. F. (2007). Structural sparseness and spatial phase alignment in natural scenes. Journal of the Optical Society of America A, 24, 1873-1885.
28. Hutchinson, C. V., & Ledgeway, T. (2004). Spatial frequency selective masking of first-order and secondorder motion in the absence of off-frequency 'looking'. Vision Research, 44, 1499-1510.
29. Johnson, A. P., & Baker, C. L., Jr. (2004). First- and second-order information in natural images: A filterbased approach to image statistics. Journal of the Optical Society of America A, 21, 913-925.
30. Julesz, B. (1962). Visual pattern discrimination. IRE Transactions on Information Theory, IT-8, 84-92.
31. Julesz, B. (1981). Textons, the elements of texture perception, and their interactions. Nature, 290, 91-97.
32. Julesz, B., Gilbert, E. N., & Victor, J. D. (1978). Visual discrimination of textures with identical third-order statistics. Biological Cybernetics, 31, 137-140.
33. Kingdom, F. A. A., Hayes, A., & Field, D. J. (2001). Sensitivity to contrast histogram differences in synthetic wavelet textures. Vision Research, 41, 585-598.
34. Klein, S. A., & Tyler, C. W. (1986). Phase discrimination of compound gratings: Generalized autocorrelation analysis. Journal of the Optical Society of America A, 3, 868-878.
35. Kline, R. B. (2005). Beyond significance testing: Reforming data analysis methods in behavioral research. Washington, DC: American Psychological Association.
36. Landy, M. S., & Graham, N. (2004). Visual perception of texture. In L. M. Chalupa & J. S. Werner (Eds.), The visual neurosciences (pp. 1106-1118). Cambridge, MA: MIT Press.
37. Martin, D. R., Fowlkes, C. C., & Malik, J. (2004). Learning to detect natural image boundaries using local brightness, color, and texture cues. IEEE Transactions on Pattern Analysis and Machine Intelligence, 530-549.
38. Motoyoshi, I., & Kingdom, F. A. A. (2010). The role of co-circularity of local elements in texture perception. Journal of Vision, 10(1):3, 1-8, http://www.journalofvision.org/content/10/1/3, doi:10.1167/10.1.3.
39. Oliva, A., & Torralba, A. (2001). Modeling the shape of the scene: A holistic representation of the spatial envelope. International Journal of Computer Vision, 42, 145-175.
40. Oliva, A., & Torralba, A. (2007). The role of context in object recognition. Trends in Cognitive Sciences, 11, 520-527.
41. Olshausen, B. A., & Field, D. J. (1996). Natural image statistics and efficient coding. Network: Computation in Neural Systems, 7, 333-339.
42. Olson, R. K., & Attneave, F. (1970). What variables produce similarity grouping? American Journal of Psychology, 81, 1-21.
43. Oppenheim, A. V., & Lim, J. S. (1981). The importance of phase in signals. Proceedings of the IEEE, 69, 529-541.
44. Pelli, D. G. (1997). The VideoToolbox software for visual psychophysics: Transforming numbers into movies. Spatial Vision, 10, 437-442.
45. Phillips, F., & Todd, J. T. (2010). Texture discrimination based on global feature alignments. Journal of Vision, 10(6):6, 1-14, http://www.journalofvision.org/content/10/6/6, doi:10.1167/10.6.6.
46. Piotrowski, L. N., & Campbell, F. W. (1982). A demonstration of the visual importance and flexibility of spatial-frequency amplitude and phase. Perception, 11, 337-346.
47. Portilla, J., & Simoncelli, E. P. (2000). A parametric texture model based on joint statistics of complex wavelet coefficients. International Journal of Computer Vision, 40, 49-71.
48. Rosenholtz, R. (2011). What your visual system sees where you are not looking. In B. E. Rogowitz & T. N. Pappas (Eds.), Proceedings of SPIE: Human vision and Electronic Imaging XVI. San Francisco.
49. Rubner, Y., & Tomasi, C. (1998). Texture metrics. Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 5, 4601-4607.
50. Ruderman, D. L. (1997). Origins of scaling in natural images. Vision Research, 37, 3385-3398.
51. Schofield, A. J., & Georgeson, M. A. (1999). Sensitivity to modulations of luminance and contrast in visual white noise: Separate mechanisms with similar behaviour. Vision Research, 39, 2697-2716.
52. Schofield, A. J., & Georgeson, M. A. (2003). Sensitivity to contrast modulation: The spatial frequency dependence of second-order vision. Vision Research, 43, 243-259.
53. Sutter, A., Sperling, G., & Chubb, C. (1995). Measuring the spatial frequency selectivity of second-order texture mechanisms. Vision Research, 35, 915-924.
54. Tadmor, Y., & Tolhurst, D. J. (1993). Both the phase and amplitude spectrum may determine the appearance of natural images. Vision Research, 33, 141-145.
55. Thomson, M. G. A. (1999). Visual coding and the phase structure of natural scenes. Network: Computation in Neural Systems, 10, 123-132.
56. Thomson, M. G. A., & Foster, G. H. (1997). Role of second- and third-order statistics in the discriminability of natural images. Journal of the Optical Society of America A, 14, 2081-2090.
57. Victor, J. D. (1994). Images, statistics, and textures: Implications of triple correlation uniqueness for texture statistics and the Julesz conjecture: Comment. a A, 11, 1680-1684.
58. Victor, J. D., Chubb, C., & Conte, M. M. (2005). Interaction of luminance and higher-order statistics in texture discrimination. Vision Research, 45, 311-328.
59. Victor, J. D., & Conte, M. M. (1996). The role of highorder phase correlations in texture processing. Vision Research, 36, 1615-1631.
60. Wilkinson, F. (1990). Texture segmentation. In W. C. Stebbins & M. A. Berkley (Eds.), Comparative perception (pp. 125-156). New York: John Wiley.
61. Wilkinson, F., & Wilson, H. R. (1998). Measurement of the texture-coherence limit for bandpass arrays. Perception, 711-728.
62. Yellott, J. I., Jr. (1993). Implications of triple correlation uniqueness for texture statistics and the Julesz conjecture. Journal of the Optical Society of America A, 10, 777-793.