Comparison of feature selection schemes for color texture classification

2010 2nd International Conference on Image Processing Theory, Tools and Applications, IPTA 2010

Volumn , Issue , 2010, Pages 32-37

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

^a Ecole d'Ingenieurs du Pas de Calais   (France)

^b UNIV LILLE   (France)

Author keywords

Color texture; Feature selection; SFFS; SFS

Indexed keywords

CO-OCCURRENCE-MATRIX; COLOR SPACE; COLOR TEXTURE CLASSIFICATION; COLOR TEXTURES; FEATURE SELECTION; HARALICK FEATURES; SEQUENTIAL FEATURE SELECTIONS; SEQUENTIAL FORWARD SELECTION; SFFS; SFS;

COLOR; IMAGE PROCESSING; IMAGING SYSTEMS; TEXTURES;

FEATURE EXTRACTION;

EID: 78049516609     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IPTA.2010.5586760     Document Type: Conference Paper

References (21)

1. V. Arvis, C. Debain, M. Berducat and A. Benassi, Generalization of the cooccurrence matrix for colour images: application to colour texture classification, Image Analysis and Stereology, vol. 23, pp. 63-72, 2004.
2. F. Lopez, J.M. Valiente, J.M. Prats and A. Ferrer, Performance evaluation of soft color texture descriptors for surface grading using experimental design and logistic regression, Pattern Recognition, vol. 41, nb. 5, pp. 1761-1772, 2008.
3. M.A. Akhloufi, X. Maldague and W.B. Larbi, A New Color-Texture Approach for Industrial Products Inspection, Journal of Multimedia, vol. 3, nb. 3, pp. 44-50, 2008.
4. L. Busin, N. Vandenbroucke, and L. Macaire, Color spaces and image segmentation, Advances in Imaging and Electron Physics, vol. 151, ch. 2, pp. 65-168, 2008.
5. A. Drimbarean and P.-F. Whelan, Experiments in colour texture analysis, Pattern Recognition Letters, vol. 22, pp. 1161-1167, 2001.
6. R. Haralick, K. Shanmugan and I. Dinstein, Textural features for image classification, IEEE Transactions on Systems, Man and Cybernetics, vol. 3, pp. 610-621, 1973.
7. R. Lakmann, BarkTex benchmark database of color textured images, Koblenz-Landau University, ftp://ftphost.unikoblenz. de/outgoing/vision/Lakmann/ BarkTex.
8. T. Mäenpää and M. Pietikäinen, Classification with color and texture: jointly or separately?, Pattern Recognition, vol. 37, pp. 1629-1640, 2004.
9. T. Ojala, T. Mäenpää, M. Pietikäinen, J. Viertola, J. Kyllönen and S. Huovinen, Outex new framework for empirical evaluation of texture analysis algorithms, In Proceedings of the 16th International Conference on Pattern Recognition (ICPR'02), Quebec, Canada, vol. 1, pp. 701-706, 2002, http://www.outex.oulu.fi/temp/.
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, VisTex benchmark database of color textured images, Media Laboratory, Massachusetts Institute of Technology (MIT), Cambridge, http://vismod.media.mit. edu/pub/VisTex/VisTex.tar.gz.
12. A. Porebski, N. Vandenbroucke and L. Macaire, Iterative feature selection for color texture classification, Proceedings of the 14th IEEE International Conference on Image Processing (ICIP'07), San Antonio, Texas, USA, pp. 509-512, 2007.
13. A. Porebski, N. Vandenbroucke and L. Macaire, Neighborhood and Haralick feature extraction for color texture analysis, In Proceedings of the 4th European Conference on Colour in Graphics, Imaging and Vision (CGIV'08), Terrassa, Spain, pp. 316-321, 2008.
14. A. Porebski, N. Vandenbroucke and L. Macaire, Selection of color texture features from Reduced Size Chromatic Co-occurrence Matrices, In Proceedings of the IEEE International Conference on Signal and Image Processing Applications (ICSIPA'09), Malaysia, 2009.
15. E.L. Van Den Broek and E.M. Van Rikxoort, Evaluation of color representation for texture analysis, In Proceedings of the Belgium-Dutch Conference on Artificial Intelligence (BNAIC'04), Groningen, The Netherlands, pp. 35-42, 2004.
16. M. Kudo and J. Sklansky, Comparison of algorithms that select features for pattern classifiers, Pattern Recognition, vol. 33, nb. 1, pp. 25-41, 2000.
17. A. Jain and D. Zongker, Feature selection: evaluation, application and small sample performance, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, nb. 2, pp. 153-158, 1997.
18. P. Pudil, J. Novovicova and J. Kittler, Floating search methods in feature selection, Pattern Recognition Letters, vol. 15, nb. 11, pp. 1119-1125, 1994.
19. 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.
20. Q. Xu, J. Yang and S. Ding, Color texture analysis using the wavelet-based hidden Markov model, Pattern Recognition Letters, vol. 26, pp. 1710-1719, 2005.
21. J. Schenk, M. Kaiser and G. Rigoll, Selecting Features in On-Line Handwritten Whiteboard Note Recognition: SFS or SFFS?, In Proceedings of the 10th IEEE International Conference on Document Analysis and Recognition, ICDAR 2009, Barcelona, Spain, pp. 1251-1254, 2009.