Target detection with texture feature coding method and Support Vector Machines

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 2, Issue , 2004, Pages

  Liang, J ^a   Zhao, X ^a   Xu, R ^a   Kwan, C ^a   Chang, C I ^b  

^a INTELLIGENT AUTOMATION INC   (United States)

^b UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CASCADE-SLIDING-WINDOW (CSW) TECHNIQUE; FALSE ALARMS; IMAGING TEXTURE ANALYSIS; SUPPORT VECTOR MACHINES (SVM);

ALGORITHMS; DEMODULATION; IMAGE CODING; IMAGING TECHNIQUES; INFORMATION RETRIEVAL SYSTEMS; MAMMOGRAPHY; STATISTICAL METHODS; TEXTURES; WAVELET TRANSFORMS;

FEATURE EXTRACTION;

EID: 4644343976     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

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2. S. Beag and N. Kehtarnavaz, "Texture based Classification of Mass Abnormalities in Mammograms," IEEE, 2000.
3. M. H. Horng, "Texture feature coding method for texture classification," Opt. Eng., Vol 42 (1), pp. 228-238, 2003
4. V. Vapnik, Statistical Learning Theory. New York: Wiley 1998
5. R.M. Harlaick, K. Shanmugam, Itshak Dinstein, "Textural features for image classification," IEEE Trans. System, Man and Cybernetics, vol. 3, pp. 610-621, 1973.
6. D. C. He and L. Wang, 'Texture classification using texture spectrum," Pattern Recognition, vol. 23, pp905-910, 1990
7. J. R. Carr and F. P. de Miranda, "The semivariogram in comparison to the co-occurrence matrix for classification of image texture," IEEE Trans. Geoscience and remote sensing, Vol. 36 (6), pp. 1945-1952, No. 1998.