Neighborhood and Haralick feature extraction for color texture analysis

Society for Imaging Science and Technology - 4th European Conference on Colour in Graphics, Imaging, and Vision and 10th International Symposium on Multispectral Colour Science, CGIV 2008/MCS'08

Volumn , Issue , 2008, Pages 316-321

  Porebski, A ^a,b   Vandenbroucke, N ^a,b   MacAire, L ^b  

^a Ecole d'Ingénieurs de Pas de Calais   (France)

^b UNIV LILLE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

COLOR; QUALITY CONTROL;

CLASSIFICATION RESULTS; CO-OCCURRENCE-MATRIX; COLOR IMAGES; COLOR TEXTURE ANALYSIS; DISCRIMINATING POWER; FEATURE SPACE; SELECTION PROCEDURES; TEXTURE ANALYSIS;

FEATURE EXTRACTION;

EID: 70349974284     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. A. Drimbarean and P.-F. Whelan, Experiments in colour texture analysis, Pattern Recognition, vol.22, pp. 1161-1167, 2001.
2. T. Mäenpää and M. Pietikainen, Classification with color and texture : jointly or separately ?, Pattern Recognition, vol.37, pp. 1629- 1640, 2004.
3. S. Chindaro, K. Sirlantzis and F. Deravi, Texture classification system using colour space fusion, Electronics Letters, vol.41, pp, 589-590, 2005.
4. O.J. Hernandez, J. Cook, M. Griffin, C. De Rama and M. McGovern, Classification of color textures with random field models and neural networks, Journal of Computer Science & Technology, vol, 5, pp. 150-157, 2005.
5. R. Lakmann, VisTex benchmark database of color textured images, Universit Koblenz-Landau, http ://vis- mod.media.mit.edu/pub/VisTex/VisTex.tar.gz.
6. M. Pietikäinen, T. Mäenpää and J. Viertola, Color texture classifica-tion with color histograms and local binary patterns, Texture02, pp. 109-112, 2002.
7. S. Arivazhagan, L. Ganesan and V. Angayarkanni, Color texture classification using wavelet transform, ICCIMA'05 : Proceedings of the Sixth International Conference on Computational Intelligence and Multimedia Applications, pp. 315-320, 2005. (Pubitemid 44500252)
8. A. Sengur, Wavelet transform and adaptive neuro-fuzzy inference system for color texture classification, Expert Systems with Applications,doi :10.1016/j.eswa.2O07.02.032, 2007.
9. G. Van de Wouwer, P. Scheunders, S. Livens and D. Van Dyck, Wavelet correlation signatures for color texture characterization, Pattern Recognition Letters, vol.32, pp. 443-451, 1999.
10. C. Palm, Color texture classification by integrative co-occurrence matrices, Pattern Recognition, vol.37, pp. 965-976, 2004.
11. R. Picard, C. Graczyk, S. Mann, J. Wachman, L. Picard and L. Campbell, BarkTex benchmark database of color textured images, Media Laboratory, Massachusetts Institute of Technology (MIT), Cambridge, ftp ://ftphost.uni- koblenz.de/outgoing/vision/Lakmann/BarkTex.
12. N. Vandenbroucke, L. Macaire and J.-G. Postaire, Color image segmentation by pixel classification in an adapted hybrid color space. Application to soccer image analysis, Computer Vision and Image Understanding, vol.90, pp. 190-216, 2003.
13. A. Porebski, N. Vandenbroucke and L. Macaire, Iterative feature selection for color texture classification, In Proceeding of the 14th IEEE International Conference on Image Processing (1CIP'07), San Antonio, Texas, USA, vol.3, pp. 509-512, 2007.
14. R. Haralick, K. Shanmugan and 1. Dinstein, Textural features for image classification, IEEE Transactions on Systems, Man and Cybernetics, vol.3, pp. 610-621, 1973.