Noise-robust and invariant object classification by the high-order statistical pattern spectrum

International Journal of Pattern Recognition and Artificial Intelligence

Volumn 13, Issue 8, 1999, Pages 1219-1232

  Foresti, G L ^a   Gentili, S ^a  

^a UNIVERSITY OF UDINE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BACKPROPAGATION; FEATURE EXTRACTION; IMAGE ANALYSIS; IMAGE QUALITY; NEURAL NETWORKS; STATISTICAL METHODS;

HIGH ORDER STATISTICAL PATTERN SPECTRUM (HSP);

OBJECT RECOGNITION;

EID: 0033357619     PISSN: 02180014     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218001499000690     Document Type: Article

References (21)

1. Y. S. Abu-Mostafa and D. Psaltis, "Recognitive aspects of moment invariants," IEEE Trans. Patt. Anal. Mach. Intell. 6, 11 (1984) 698-706.
2. S. O. Belkasim, M. Shridhar and M. Ahmadi, "Pattern recognition with moment invariants: a comparative study and new results," Patt. Recogn. 24, 12 (1991) 1117-1138.
3. G. L. Foresti and C. S. Regazzoni, "Properties of binary statistical morphology," 13th Int. Conf. Pattern Recognition, Vienna, Austria, August 25-29, 1996, pp. 631-635.
4. G. Foresti, C. S. Regazzoni and A. N. Venetsanopoulos, "Statistical pattern spectrum for binary pattern recognition," Computational Imaging and Vision - Mathematical Morphology and Its Applications to Image Processing, eds. J. Serra and P. Soille, Kluwer Academic Publishers, 1994, pp. 185-192.
5. J. Goutsias, "Morphological shape representation of discrete and binary image," IEEE Trans. Acoust. Speech Sign. Process. 39, 6 (1991) 1369-1379.
6. W. E. L. Grimson, Object Recognition by Computer, MIT Press, Cambridge, MA, 1990.
7. S. B. Ho, "Shape smoothing using medxis properties," IEEE Trans. Patt. Anal. Mach. Intell. 8 (1986) 512-520.
8. J. E. Hollis, D. J. Brown, I. C. Luckraft and C. R. Gent, "Feature vectors for road vehicle scene classification," Neural Networks 9, 2 (1996) 337-344.
9. G. Matheron, Random Sets and Integral Geometry, Wiley, New York, 1975.
10. P. Maragos, "Pattern spectrum and multiscale shape representation," IEEE Trans. Patt. Anal. Mach. Intell. 11 (1989) 701-716.
11. T. Pavlidis, "Algorithms and shape analysis contours for waveforms," IEEE Trans. Patt. Anal. Mach. Intell. 2, 4 (1980) 301-312.
12. M. Pawlak, "On the reconstruction aspects of moment descriptions," IEEE Trans. Inform. Theor. 38, 6 (1992) 1698-1708.
13. M. Pawlak and X. Liao, "On digital approximation of moment descriptors," Mach. Graph. Vis. 3, 1 & 2 (1994) 61-68.
14. R. J. Prokop and A. P. Reeves, "A survey of moment based techniques for unoccluded object representation and recognition," Graph. Models Imag. Process. 54, 5 (1992) 438-460.
15. J. Serra, Image Analysis and Mathematical Morphology, Academic Press, 1982.
16. F. Y. Shih, "Morphological shape description using geometric spectrum on multidimensional binary image," Patt. Recogn. 25, 9 (1992) 921-927.
17. X. L. Simon and M. Pawlak, "On image analysis by moments," IEEE Trans. Patt. Anal. Mach. Intell. 18, 3 (1996) 254-266.
18. SQUID system, http://www.ee.surrey.ac.uk/Research/VSSP/imagedb/demo.html University of Surrey, United Kingdom.
19. B. Widrow, R. G. Winter and R. A. Baxter, "Layered neural net for pattern recognition," IEEE Trans. Acoust. Speech Sign. Process. 36 (1988) 1109-1118.
20. Z. Xiaoqi and Y. Baozong, "Shape description and recognition using the high order morphological pattern spectrum," Patt. Recogn. 28, 9 (1995) 1333-1340.
21. A. Yuille, L. Vincent and D. Geiger, "Statistical morphology and Bayesian reconstruction," J. Math. Imag. Vis. 1, 3 (1992) 223-238.