Contour integration and scale combination processes in visual edge detection

Spatial Vision

Volumn 12, Issue 3, 1999, Pages 309-327

  Dakin, Steven C ^a   Hess, Robert F ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BANDWIDTH; FOURIER TRANSFORMS; IMAGE ENHANCEMENT; OPTICAL FILTERS; VISION;

CONTOUR INTEGRATION; GABOR ELEMENTS; SCALE INTEGRATION;

EDGE DETECTION;

ARTICLE; COMPARATIVE STUDY; COMPUTER SIMULATION; FOURIER ANALYSIS; HUMAN; PATTERN RECOGNITION; PHOTOSTIMULATION; PHYSIOLOGY; RETINA; VISUAL FIELD;

COMPUTER SIMULATION; FORM PERCEPTION; FOURIER ANALYSIS; HUMANS; PHOTIC STIMULATION; RETINA; VISUAL FIELDS;

EID: 0032587841     PISSN: 01691015     EISSN: None     Source Type: Journal    
DOI: 10.1163/156856899X00184     Document Type: Article

References (46)

1. Adelson, E. H. and Bergen, J. R. (1985). Spatio-temporal energy models for the perception of motion, Journal of the Optical Society of America A2, 284-299.
2. Bishop, P., Coombs, J. and Henry, G. (1973). Receptive fields of simple cells in the cat striate cortex, Journal of Physiology, London 231, 31-60.
3. Blakemore, C. and Tobin, E. R. (1972). Lateral inhibition between orientation detectors in the cat's visual cortex, Experimental Brain Research 15, 439-440.
4. Born, R. T. and Tootell, B. H. (1991). Single unit and 2-deoxyglucose studies of side-inhibition in macaque visual cortex, Proceedings of the National Academy of Science USA 88, 7071-7075.
5. Burr, D. C. and Morrone, M. C. (1994). The role of features in structuring visual images, in: Higher-Order Processing in the Visual System: CIBA Foundation Symposium 184, M. J. Morgan (Ed.), pp. 129-141. Wiley, Chichester, UK.
6. Canny, J. F. (1983). Finding Edges and Lines in Images. MIT AI Laboratory Technical Report, Boston, MA.
7. Dakin, S. C. and Hess, R. F. (1998). Spatial-frequency tuning of visual contour integration, Journal of the Optical Society of America 15.
8. De Valois, K. K., De Valois, R. L. and Yund, E. W. (1979). Responses of striate cortex cells to grating and checkerboard patterns, Journal of Physiology (London) 291, 483-505.
9. De Valois, R. L., Thorell, L. G. and Albrecht, D. G. (1985). Periodicity of striate-cortex-cell receptive fields, Journal of the Optical Society of America A2, 1115-1123.
10. 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 A4, 2379-2394.
11. Field, D. J., Hayes, A. and Hess, R. F. (1993). Contour integration by the human visual system: evidence for a local 'association field', Vision Research 33, 173-193.
12. Field, D. J., Hayes, A. and Hess, R. F. (1997). The role of phase and contrast polarity in contour integration, Investigative Ophthalmology and Visual Science 38, S999.
13. Fries, W., Albus, K. and Creutzfeldt, O. D. (1977). Effects of interacting visual patterns on single cell responses in cats striate cortex, Vision Research 17, 1001-1008.
14. Galli, A. and Zama, A. (1931). Zeitschrift Psychologie 123, 308-348.
15. Georgeson, M. (1992). Human vision combines oriented filters to compute edges, Proceedings of the Royal Society of London B249, 235-245.
16. Georgeson, M. A. (1994). From filters to features: location, orientation, contrast and blur, in: Higher-Order Processing in the Visual System: CIBA Foundation Symposium 184, M. J. Morgan (Ed.), pp. 147-163. Wiley, Chichester, UK.
17. Georgeson, M. A. and Meese, T. S. (1997). Perception of stationary plaids: The role of spatial filters in edge analysis, Vision Research 37, 3255-3271.
18. Harmon, L. D. and Julesz, B. (1973). Masking in visual recognition: Effects of two dimensional filtered noise, Science 180, 1194-1197.
19. Hayes, A. (1989). Representation by images restricted in resolution and intensity range, Department of Psychology, University of Western Australia.
20. Hess, R. F. and Dakin, S. C. (1997). Absence of contour linking in peripheral vision, Nature 390, 602-604.
21. Hess, R. F. and Field, D. J. (1995). Contour integration across depth, Vision Research 35, 1699-1711.
22. Kovács, I. and Julesz, B. (1993). A closed curve is much more than an incomplete one: effect of closure in figure-ground segmentation, Proceedings of the National Academy of Sciences USA 90, 7495-7497.
23. Lowe, D. G. (1988). Organization of smooth image curves at multiple spatial scales, in: Proceedings of the IEEE International Conference on Computer Vision, Los Alamitos, CA, pp. 558-567. The IEEE Computer Society Press.
24. Maffei, L. and Fiorentini, A. (1976). The unresponsive regions of visual cortical receptive fields, Vision Research 16, 1131-1139.
25. Marr, D. (1982). Vision. Freeman, San Francisco, CA.
26. Marr, D. and Hildreth, E. (1980). Theory of edge detection, Proceedings of the Royal Society of London B207, 187-217.
27. McIlhagga, W. H. and Mullen, K. T. (1996). Contour integration with colour and luminance contrast, Vision Research 36, 1265-1279.
28. Meese, T. S. and Georgeson, M. A. (1996). Spatial filter combination in human pattern vision: Channel interactions revealed by adaptation, Perception 25, 255-278.
29. Morgan, M. J. and Watt, R. J. (1997). The combination of filters in early spatial vision: a retrospective analysis of the MIRAGE model, Perception 26, 1073-1088.
30. Morrone, M. C. and Burr, D. C. (1983). Added noise restores recognition of coarse quantized images, Nature 305, 226-228.
31. Morrone, M. C. and Burr, D. C. (1988). Feature detection in human vision: a phase-dependent energy model, Proceedings of the Royal Society of London B235, 221-245.
32. Morrone, M. C. and Burr, D. C. (1997). Capture and transparency in coarse quantized images, Vision Research 37, 2609-2629.
33. Nelson, J. I. and Frost, B. J. (1978). Orientation-selective inhibition from beyond the classic visual receptive field, Brain Research 139, 359-365.
34. Olshausen, B. A. and Field, D. J. (1996). Emergence of simple-cell receptive field properties by learning a sparse code for natural images, Nature 381, 607-609.
35. Olshausen, B. A. and Field, D. J. (1997). Sparse coding with an overcomplete basis set: a strategy employed by V1? Vision Research 37, 3311-3325.
36. Olzak, L. A. and Thomas, J. P. (1991). When orthogonal orientations are not processed independently, Vision Research 31, 51-57.
37. Olzak, L. A. and Thomas, J. P. (1992). Configural effects constrain Fourier models of pattern discrimination, Vision Research 32, 1885-1898.
38. Pelli, D. G. (1997). The VideoToolbox software for visual psychophysics: transforming number into movies, Spatial Vision 10, 437-442.
39. Pettet, M. W., McKee, S. P. and Grzywacz, N. M. (1996). Smoothness constrains long-range interactions mediating contour-detection, Investigative Ophthalmology and Visual Science 37, 4368.
40. Pollen, D. A., Gaska, J. P. and Jacobson, L. D. (1988). Responses of simple and complex cells to compound sine-wave gratings, Vision Research 28, 25-39.
41. Thomas, J. P. and Olzak, L. A. (1996). Uncertainty experiments support the roles of second-order mechanisms in spatial frequency and orientation discriminations, Journal of the Optical Society of America 13, 689-696.
42. Torre, V. and Poggio, T. A. (1986). On edge detection, IEEE Transactions on Pattern Analysis and Machine Intelligence 8, 147-163.
43. Watt, R. J. (1988). Visual Processing: Computational, Psychophysical and Cognitive Research. Lawrence Erlbaum, London.
44. Watt, R. J. (1991). Understanding Vision. Academic Press, London.
45. Watt, R. J. and Morgan, M. J. (1985). A theory of the primitive spatial code in human vision, Vision Research 25, 1661-1674.
46. Wertheimer, M. (1938). Laws of Organisation in Perceptual Forms. Harcourt, Brace and Jovanovich, London.