XFF: A simple method to eXtract fractal features for 2D object recognition

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1451, Issue , 1998, Pages 382-389

  Baldoni, Matteo ^a   Baroglio, Cristina ^a   Cavagnino, Davide ^a  

^a UNIVERSITY OF TURIN   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

FRACTALS; OBJECT RECOGNITION;

ADAPTIVE CLASSIFIERS; AUTOMATIC RECOGNITION; CLASSIFICATION PROCESS; DISCRIMINANT INFORMATIONS; GEOMETRICAL MODELS; ITERATED FUNCTION SYSTEM; PRIORI KNOWLEDGE; VISUAL REPRESENTATIONS;

IMAGE COMPRESSION;

EID: 84869409458     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0033257     Document Type: Conference Paper

References (18)

1. M. Baldoni, C. Baroglio, D. Cavagrdno, and G. Lo Bello. Extraction of Discriminant Features from Image Fractal Encoding. In M. Lenzerini, editor, Proc. of AI*IA 97: Advances in Artificial Intelligence, volume 1321 of LNAI, pages 127-138. Springer-Vertag, 1997.
2. M. Barnsley. Fractals Everywhere. Academic Press, San Diego, 1988.
3. M. Barnsley and S. Demko. Iterated function systems and the global construction of fractals. In The Proc. of the Royal Society of London, vol. A399, 243-275, 1985.
4. M. Barnsley and L. P. Hurd. Fractal Image Compression. AK Peters, Ltd., Wellesley, Massachusetts, 1993.
5. P. Besl and R. Jain. Three dimensional object recognition. ACM Computing Surveys, (17):75-154, 1985.
6. R. Chin and C. Dyer. Model-based recognition in robot vision. ACM Computing Surveys, (18):67-108, 1986.
7. A. M. Erkmen and H. E. Stephanou. Information Fractals for Evidential Pattern Classification. IEEE Trans. on Sys., Man, and Cyb., 20(5):1103-1114, 1990.
8. K. Falconer. Fractal Geometry, Mathematical Foundations and Applications. John Wiley & Sons Ltd., Chichester, UK, 1990.
9. Y. Fisher. Fractal Compression: Theory and Application to Digital Images. Springer Verlag, New York, 1994.
10. B. Freisleben, J. H. Greve, and J. LSber. Recognition of Fractal Images using a Neural Network. In New Trends in Neural Computation, IWANN ‘93, volume 686 of LNCS, pages 632-637. Springer-Verlag, 1993.
11. R. C. Gonzales and R. E. Woods. Digital Image Processing. Addison - Wesley Publishing Company, 1992.
12. A. Imiya, Y. Fujiwara, and T. Kawashima. A Metric of Planar Self-Similar Forms. In P. Perner, P. Wang, and A. Rosenfeld, editors, Advances in Structural and Syntactical Pattern Recognition, SSPR ‘96, vol. 1121 of LNCS, pages 100-109. Springer-Verlag, 1996.
13. A. De Marchi and Cassi. Modelli matematici di colonizzazione liehenica ottenuti mediante l’esame di equazioni frattali. Notiziario della Società Lichenologica Italiana, 5, 1992.
14. D. Michie, D. J. Spiegelhalter, and C. C. Taylor. Machine Learning, Neural and Statistical Classification. Ellis Horwood Series in AI. Prentice Hall, 1994.
15. M. F. Moiler. A scaled conjungate gradient algorithm for fast supervised learning. Neural Networks, 6:525-533, 1993.
16. D. R. Morse, J. H. Lawton, M. M. Dodson, and M. H. Williamson. Fractal dimension of vegetation and the distribution of anthropod body lengths. Nature, 314:731-733, 1985.
17. L. O’Gorman. Basic tecbmiques and symbol-level recognition - an overview. In K. Tombre R. Kasturi, editor, Graphics Recognition, Methods and Applications, volume 1072 of LNCS, pages 1-12. Springer-Verlag, 1995.
18. A. P. Pentland. Fractal-Based Description of Natural Scenes. IEEE Trans. Pattern Analysis and Machine Intelligence, (PAMI-6):661-674, 1984.