Edge detection in noisy images using the support vector machines

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

Volumn 2084 LNCS, Issue PART 1, 2001, Pages 685-692

  Gómez Moreno, Hilario ^a   Maldonado Bascón, Saturnino ^a   López Ferreras, Francisco ^a  

^a UNIVERSITY OF ALCALÁ   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

EDGE DETECTION; IMPULSE NOISE; ARTIFICIAL INTELLIGENCE;

NOISY IMAGE; SVM CLASSIFICATION; TWO WAYS;

SUPPORT VECTOR MACHINES;

EID: 84875348640     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45720-8_82     Document Type: Conference Paper

References (5)

1. A.K. Jain. "Fundamentals of Digital Image Processing". Englewood Cliffs, NJ, Prentice Hall, 1989.
2. J.F. Canny. "A computational Approach to Edge Detection". IEEE Trans. On Pattern Analysis and Machine Intelligence, vol. 8, pp. 679-698. 1986.
3. V. Vapnik. "The Nature of Statistical Learning Theory". New York, Springer-Verlag, 1995.
4. N. Cristianini and J. Shawe-Taylor. "An introduction to Support Vector Machines and other kernel-based methods". Cambridge, Cambridge University Press, 2000.
5. C.C. Chang and C.J. Lin. "Libsvm: Introduction and benchmarks". http://www.csie.ntu.edu.tw/cjlin/papers.