Curve detection in a noisy image

Vision Research

Volumn 37, Issue 9, 1997, Pages 1217-1241

  Pizlo, Zygmunt ^a   Salach Golyska, Monika ^a   Rosenfeld, Azriel ^b  

^a PURDUE UNIVERSITY   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

Author keywords

Figure ground segregation; Local vs global analysis

Indexed keywords

ALGORITHM; ARTICLE; HUMAN; HUMAN EXPERIMENT; MODEL; NORMAL HUMAN; PATTERN RECOGNITION; PRIORITY JOURNAL; VISUAL DISCRIMINATION;

ALGORITHMS; FEMALE; GESTALT THEORY; HUMANS; MALE; MODELS, NEUROLOGICAL; PATTERN RECOGNITION, VISUAL; PSYCHOPHYSICS; VISUAL ACUITY; VISUAL PERCEPTION;

EID: 0030944216     PISSN: 00426989     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0042-6989(96)00220-9     Document Type: Article

References (49)

1. Alter, T.D. & Basri, R. (in press). Extracting salient curves from images: an analysis of the saliency network. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. IEEE Computer Society Press, in press.
2. Beck J. Effect of orientation and of shape similarity on perceptual grouping. Perception and Psychophysics. 1:1966;300-302.
3. Ben-Av M.B., Sagi D. Perceptual grouping by similarity and proximity: Experimental results can be predicted by intensity autocorrelations. Vision Research. 35:1995;853-866.
4. Braunstein, M.L. (1976). Depth perception through motion. New York: Academic Press.
5. Burbeck C.A., Yap Y.L. Two mechanisms for localization? Evidence for seperation-dependent and separation-independent processing of position information. Vision Research. 30:1990;739-750.
6. Burt P.J. Fast filter transforms for image processing. Computer Graphics and Image Processing. 16:1981;20-51.
7. Caelli T.M., Preston G.A.N., Howell E.R. Implications of spatial summation models for process of contour perception: A geometric perspective. Vision Research. 18:1978;723-734.
8. Campbell F.W., Robson J.G. Application of Fourier analysis to the visibility of gratings. Journal of Physiology. 197:1968;551-566.
9. Cutting, J.E. (1986). Perception with an eye for motion. Cambridge, MA: MIT Press.
10. Dobbins A., Zucker S.W., Cynader M.S. Endstopping and curvature. Vision Research. 29:1989;1371-1387.
11. Field D.J., Hayes A., Hess R.F. Contour integration by the human visual system: Evidence for a local "association field" Vision Research. 33:1993;173-193.
12. Finney, D.J. (1971). Probit analysis. Cambridge: Cambridge University Press.
13. Gibson, J.J. (1950). The perception of the visual world. Boston: Houghton Mifflin.
14. Gibson, J.J. (1979). The ecological approach to visual perception. Boston: Houghton Mifflin.
15. Grossberg S., Mingolla E. Neural dynamics of form perception: Boundary completion, illusory figures, and neon color spreading. Psychological Review. 92:1985;173-211.
16. Grossberg S., Mingolla E. Neural dynamics of perceptual grouping: Textures, boundaries, and emergent segmentations. Perception and Psychophysics. 38:1985;141-171.
17. von Helmholtz H. On the theory of compound colors. Philosophical Magazine. 4:1852;519-534.
18. Hering, E. (1878). Zur Lehre vom Lichtsinn. Vienna: Gerold.
19. Hurvich L.M., Jameson D. The binocular fusion of yellow in relation to color theories. Science. 114:1951;199-202.
20. Johansson, G. (1977). Spatial constancy and motion in visual perception. In Epstein, W. (Ed.), Stability and constancy in visual perception: mechanisms and processes (pp. 375-419). New York: Wiley.
21. Jolion, J.M. & Rosenfeld, A. (1994). A pyramidal framework for early vision. The Netherlands: Kluwer, Dordrecht.
22. Julesz B. Visual pattern discrimination. IRE Transactions on Information Theory. 2:1962;84-92.
23. Koenderink J.J. The structure of images. Biological Cybernetics. 50:1984;363-370.
24. Koffka, K. (1935). Principles of Gestalt Psychology. New York: Harcourt Brace.
25. Leeper R. A study of a neglected portion of the field of learning - the development of sensory organization. Journal of Genetic Psychology. 46:1935;41-75.
26. Luce, R.D. (1986). Response times. New York: Oxford University Press.
27. Macmillan, N.A. & Creelman, C.D. (1991). Detection theory: A user's guide. Cambridge: Cambridge University Press.
28. Marr, D. (1982). Vision. New York: W.H. Freeman.
29. Meer P. Stochastic image pyramids. Computer Vision Graphics and Image processing. 45:1989;269-294.
30. van Oeffelen M.P., Vos P.G. An algorithm for pattern description on the level of relative proximity. Pattern Recognition. 16:1983;341-348.
31. Pizlo Z. A theory of shape constancy based on perspective invariants. Vision Research. 34:1994;1637-1658.
32. Pizlo Z., Rosenfeld A., Epelboim J. An exponential pyramid model of the time-course of size processing. Vision Research. 35:1995;1089-1107.
33. Pizlo Z., Salach-Golyska M. 3-D shape perception. Perception and Psychophysics. 57:1995;692-714.
34. Rock, I. (1983). The logic of perception. Cambridge, MA: MIT Press.
35. Rosenfeld, A. (1990). Pyramid algorithms for efficient vision. In Blakemore, C. (Ed.), Vision: Coding and efficiency (pp. 423-430). Cambridge: Cambridge University Press.
36. Sha'ashua, A. & Ullman, S. (1988). Structural saliency: The detection of global salient structures using a locally connected network. In Proceedings of the International Conference on Computer Vision (pp. 321-327). Washington, D.C.: IEEE Computer Society Press.
37. Shepard, R.N. & Cooper L.A. (1982). Mental images and their transformations. Cambridge, MA: MIT Press.
38. Smits J.T.S., Vos P.G. A model for the perception of curves in dot figures: The role of local salience of "virtual lines" Biological Cybernetics. 54:1986;407-416.
39. Smits J.T.S., Vos P.G., van Oeffelen M.P. The perception of a dotted line in a noise: A model of good continuation and some experimental results. Spatial Vision. 1:1986;163-177.
40. Tanimoto S., Pavlidis T. A hierarchical data structure for picture processing. Computer Graphics and Image Processing. 4:1975;104-1119.
41. Treisman A., Gelade G. A feature integration theory of attention. Cognitive Psychology. 12:1980;97-136.
42. Uttal, W.R. (1975). An autocorrelation theory of form detection. Hillsdale, NJ: Lawrence Erlbaum.
43. Vos, P.G. & Helsper, E.L. (1991). Modelling detection of linear structure in dot patterns. In Dvorak, I. & Holden, A.V. (Eds), Mathematical approaches to brain functional diagnostics (pp. 429-440). New York: Manchester University Press.
44. Watt R.J. Scanning from coarse to fine spatial scales in the human visual system after the onset of the stimulus. Journal of the Optical Society of America A. 4:1987;2006-2021.
45. Wertheimer, M. (1923/1958). Principles of perceptual organization. In Beardslee, D.C. & Wertheimer, M. (Eds), Readings in perception (pp. 115-135). Princeton, NJ: D. van Nostrand.
46. Yuen H.K., Princen J., Illingworth J., Kittler J. Comparative study of Hough transform methods for circle finding. Image and Vision Computing. 8:1990;71-77.
47. Zeki, S. (1993). A vision of the brain. Oxford: Blackwell Scientific Publications.
48. Zucker S.W. Early orientation selection: Tangent fields and the dimensionality of their support. Computer Vision, Graphics, and Image Processing. 32:1985;74-103.
49. Zusne, L. (1970). Visual perception of form. New York: Academic Press.