Symmetry operators in computer vision

Vistas in Astronomy

Volumn 40, Issue 4, 1996, Pages 461-468

  Di Gesù, Vito ^a   Valenti, Cesare ^a  

^a UNIVERSITY OF PALERMO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0001158839     PISSN: 00836656     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0083-6656(96)00030-X     Document Type: Article

References (9)

1. Blum H. and Nagel R. N. (1978) Shape description using weighted symmetric axis features. Pattern Recognition 10, 167-180.
2. Di Gesù V. and Maccarone M. C. (1984) A method to classify spread shapes based on the possibility theory. Proc. 7th Int. Conf. Pattern Recognition, IEEE Comp. Soc., Montreal, Canada.
3. Gauch J. M. and Pizer S. M. (1993) The intensity axis of symmetry application to image segmentation. IEEE Trans. PAMI 15, 753-770.
4. Kelly M. F. and Levine M. D. (1994) From symmetry to representation. Technical Report, TR-CIM-94-12, Center for Intelligent Machines. McGill Univ., Montreal, Canada.
5. Marola G. (1989) On the detection of the axes of symmetry of symmetric and almost symmetric planar images. IEEE Trans. PAMI 11, 104-108.
6. Ossorio P. G. and Kurtz M. J. (1988) Classification of resolved galaxies. In Data Analysis in Astronomy (Edited by Di Gesù V., Scarsi L. et al.), Vol. III, pp. 121-128. Plenum Press, Ettore Majorana International Science Series.
7. Reisfeld D., Wolfson H. and Yeshurun Y (1995) Context free attentional operators: the generalized symmetry transform. Int. J. Computer Vision 14, 119-130.
8. Thonnat M. (1988) Toward an automated classification of galaxies. In Le monde des galaxies, PHYSICS. Springer, New York.
9. Zahn C. T. (1971) Graph-theoretical methods for detecting and describing Gestalt cluster. IEEE Trans. Comp. C-20, 68-86.