Supervised texture segmentation using support vector machines

Electronics Letters

Volumn 35, Issue 22, 1999, Pages 1935-1937

  Kim, K I ^a   Jung, K ^a   Park, S H ^a   Kim, H J ^a  

^a Kyungpook National University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

LAGRANGE MULTIPLIERS; LEARNING ALGORITHMS; MATHEMATICAL TRANSFORMATIONS; OPTIMIZATION; PATTERN RECOGNITION; PROBLEM SOLVING;

SUPERVISED TEXTURE SEGMENTATION; SUPPORT VECTOR MACHINES;

IMAGE SEGMENTATION;

EID: 0033340864     PISSN: 00135194     EISSN: None     Source Type: Journal    
DOI: 10.1049/el:19991317     Document Type: Article

References (7)

1. TUCERVAN, M., and JAIN, A K : 'Texture analysis' 'in Handbook of pattern recognition and computer vision' (World Scientific, 1993)
2. RANDEN, T., and HUSOY, J.H.: 'Filtering for texture classification: a comparative study', IEEE Trans., 1999, PAMI-21, (4), pp. 291-310
3. JAIN, A K , and KARU, K : 'Learnins texture discrimination masks', IEEE Trans., 1996, PAMI-18, (2), pp. 195-205
4. PATEL, D : 'Page segmentation for document image analysis using a neural network', Opt. Eng., 1996, 35, (7), pp. 1854-1861
5. HAYKIN, S.: 'Neural network: A comprehensive foundation' (Prentice Hall, 1999), 2nd edn.
6. VAPNIK, V : 'The nature of statistical learning theory' (Springer Verlag, 1995)
7. SCHOLKOPF, B , SUNG, K , BURGES, C , GIROSI, F , NIYOGI, P , POGIO, T , and VAPNIK, V.: 'Comparing support vector machines with Gaussian kernels to radial basis function classifiers'. A.I. Memo 1599, MIT, December 1996