Pixel classification through divergence-based integration of texture methods with conflict resolution

IEEE International Conference on Image Processing

Volumn 2, Issue , 2003, Pages 1037-1040

  Puig, Domènec ^a   García, Miguel Angel ^a  

^a UNIVERSITAT ROVIRA I VIRGILI   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; DECISION MAKING; FEATURE EXTRACTION; MATHEMATICAL MODELS; PROBABILITY DISTRIBUTIONS; PROBLEM SOLVING;

PIXEL CLASSIFICATION; TEXTURE CLASSIFICATION;

IMAGE ANALYSIS;

EID: 0344703684     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. T. Caelly and D. Reye. On the classification of image regions by colour, texture and shape. Pattern Recognition, 26(4), pp. 461-470, 1993.
2. K.I. Chang, K.W. Bowyer and M. Sivagurunath. Evaluation of Texture Segmentation Algorithms. IEEE CVPR, Fort Collins, USA, June 1999.
3. R. Deja. Conflict Analysis, Rough Set Methods and Applications. Studies in Fuzzyness and Soft Computing, L. Polkowski and others eds. Springer-Verlag, pp.491-520, 2000.
4. M.A. García and D. Puig. Improving Texture Pattern Recognition by Integration of Multiple Texture Feature Extraction Methods. 16th IAPR Int. Conf. on Pattern Recognition, vol. 3, pp. 7-10, Quebec, Canada, 2002.
5. J. Kittler. Feature Selection and Extraction. Handbook of Pattern Recognition and Image Processing, T.Y. Young, K.S. Fu, editors. Academic Press, pp. 60-81, 1986.
6. J. Malik, S. Belongie, T. Leung and J. Shi. Contour and Texture Analysis for Image Segmentation. Perceptual Organization for Artificial Vision Systems, K.L. Boyer and S. Sarkar, editors. Kluwer Academic, 2000.
7. MeasTex Image Texture Database and Test Suite, http://www.cssip.uq.edu.au/staff/meastex/meastex.html.
8. T. Ojala, M. Pietikainen and D. Harwood. A Comparative Study of Texture Measures with Classification Based on Feature Distributions. Pattern Recog., 29(1), pp. 51-59, 1996.
9. M.P. Perrone and L. Cooper. When networks disagree: ensemble methods for hybrid neural networks. In R.J.Mammone, editor, Neural Networks for Speech and Image Processing. Chapman-Hall, 1993.
10. D. Puig and M.A. Garcia. Recognizing Specific Texture Patterns by Integration of Multiple Texture Methods. IEEE ICIP, vol. 1, pp. 125-128, Rochester, USA, 2002.
11. T. Randen and J.H. Husoy. Filtering for Texture Classification: A Comparative Study. IEEE Trans. PAMI, 21(4), pp. 291-310, 1999.
12. T.R. Reed and J.M. Hans du Buf. A Review of Recent Texture Segmentation and Feature Extraction Techniques. CVGIP: Image Understanding, 57(3), pp. 359-372, 1993.
13. S. Theodoridis and K. Koutroumbas. Pattern Recognition. Academic Press, 1999.