Analysis and classification of internal pipeline images

IEEE International Conference on Image Processing

Volumn 3, Issue , 2003, Pages 577-580

  O'Brien, Deirdre ^a   Gupta, Maya ^a   Gray, Robert M ^a   Hagene, Jon Kristian ^b  

^a Stanford University   (United States)

^b Prost Stabels Vei 22   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FEATURE EXTRACTION; MATRIX ALGEBRA; NATURAL GAS PIPELINES; PROBABILITY DISTRIBUTIONS;

LINEAR DISCRIMINANT ANALYSIS (LDA); STATISTICAL CLASSIFIERS;

IMAGE ANALYSIS;

EID: 0345134154     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

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2. R. M. Haralick, K. Shanmugam, and I. Dinstein, "Textural features for image classification," IEEE Trans Systems, Man and Cybernetics, vol. 3, no. 6, pp. 610-621, 1973.
3. Leo Breiman, Jerome Friedman, Richard Olshen, and Charles Stone, Classification and Regression Trees, Chapman and Hall, United States of America, 1984.
4. Trevor Hastie, Robert Tibshirani, and Jerome Friedman, The Elements of Statistical Learning, Springer-Verlag, New York, 2001.
5. Maya Gupta, "An information theory approach to supervised learning," Stanford University Dissertation, 2003.
6. F. Provost and T. Fawcett, "Robust classification for imprecise environments," Machine Learning, vol. 42, no. 3, pp. 203-210, 2001.