Abstract
Inference of structures in an image based on a fuzzy logic approach to perceptual organization is presented. Fuzzy sets and logic are useful for representing organization properties and for inference. The emphasis is here on an iterative scheme of inference of structures from lower level tokens, rather than on search. Learning to perform perceptual organization is also discussed.
The order of authors' names is strictly alphabetical. Address correspondence to either author.
Research done while both authors were with the Laboratory for International Fuzzy Enginering (LIFE), Yokohama, Japan.
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Baldwin J. F., T. P. Martin, B. W. Pilsworth (1988) FRIL Manual, Version 4.0, FRIL Systems Ltd. Bristol Business Centre, Bristol BS8 1QX, U.K.
Berkeley G., An essay towards a new theory of vision. In The Works of George Berkeley, D. D. the Bishop of Cloyne. George Sampson (edt.) London: George Bell and Sons 1908.
Gibson, J. J. (1950) The perception of the Visual World. Boston: Houghton Mifflin.
Gibson, J. J. (1966) The senses considered as Perceptual Systems. Boston: Houghton Mifflin.
Gregory, R. L. (1970) The Intelligent Eye. London: Weidenfeld & Nicholson.
Horaud R. and F. Veillon, Finding geometric and relational structures in an image, Proceedings of ECCV 1990 374–384.
Kang H. B., and E. Walker, Characterizing and controlling approximation in hierarchical perceptual grouping, Fuzzy Sets and Systems, Vol. 65 (1994) 187–223.
Kosako A., A. L. Ralescu and J. G. Shanahan, Fuzzy techniques in image understanding. Meeting of the Japanese Society for Information and Control, Osaka, Nov. 15–17 1994.
Lowe D. G. (1985) Perceptual Organization and Visual Recognition. Kluwer Academic Publishers.
Marr D. (1982) Vision. W. H. Freeman and Company, New York.
Mohan R. and R. Nevatia, Using perceptual organization to extract 3-D structures
Pentland A., Perceptual organization and the representation of natural form Artificial Intelligence 28 (1986) 293–331.
Ralescu A, Hartani R, “ Modeling the perception of facial expression from face photographs”, Proc. of FSS 1994.
Ralescu A. L., J. G. Shanahan, Line structure inference in fuzzy perceptual grouping. The NSF Workshop on Computer Vision, Islamabad Pakistan, January 3–5 1995, pp. 1–8.
Ralescu A. L., J. G. Shanahan Fuzzy Perceptual grouping in image understanding. Proceedings of the FUZZ-IEEE/IFES'95, March 20–24 1995, 1267–1272.
Rasure J. M. Young (1991) Khoros Programmer's Manual, University of New Mexico.
Sarkar S. and K. Boyer (1994) Computing Perceptual Organization in Computer Vision, World Scientific.
Sugeno, M. and Yasukawa, T. “A fuzzy logic based approach to qualitative modeling”, IEEE-TFS Vol. 1, 1993.
Tanveer S. and F. Mahmood, Data and model-driven selection using parallel-line groups, MIT Artificial Intelligence Laboratory, AI Memo No. 1399, May 1993.
Warrington, E. K., The selective impairment of semantic memory. Quart. J. Exp. Psycho. 27 1978 635–657.
Warrington, E. K. and A. M. Taylor, The contribution of the right parietal lobe to object recognition. Cortex 9, 1973, 152–164.
Witkin A., J. Tenenbaum, On the role of structure in vision. in Human and machine vision (J. Beck, B. Hope and A. Rosenfeld, eds.) pp. 481–543, Academic Press 1983.
L. A. Zadeh, Fuzzy sets, Information and Control vol. 8, 1965, 338–353.
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Ralescu, A.L., Shanahan, J.G. (1997). Structure cognition from images. In: Martin, T.P., Ralescu, A.L. (eds) Fuzzy Logic in Artificial Intelligence Towards Intelligent Systems. FLAI 1995. Lecture Notes in Computer Science, vol 1188. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-62474-0_17
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DOI: https://doi.org/10.1007/3-540-62474-0_17
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