Wavelet correlation signatures for color texture characterization

Pattern Recognition

Volumn 32, Issue 3, 1999, Pages 443-451

  Van De Wouwer, G ^a   Scheunders, P ^a   Livens, S ^a   Van Dyck, D ^a  

^a UNIVERSITY OF ANTWERP   (Belgium)

Author keywords

Classification; Color spaces; Feature extraction; Texture analysis; Wavelet signatures

Indexed keywords

COLOR IMAGE PROCESSING; IMAGE ANALYSIS; IMAGE QUALITY; MATHEMATICAL TRANSFORMATIONS; OPTICAL CORRELATION;

COLOR TEXTURE CHARACTERIZATION; WAVELET CORRELATION SIGNATURES;

FEATURE EXTRACTION;

COLOR; IMAGE ANALYSIS; TEXTURE; WAVELET;

EID: 0033103742     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(98)00035-1     Document Type: Article

References (31)

1. [1] G.J. Klinker, S.A. Shafer, T. Kanade, A physical approach to color image understanding, Int. J. Comput. Vision 4 (1990) 7-38.
2. [2] G. Wyszecki, W.S. Stiles, Color Science, Concepts and Methods, Quantitative Data and Formulas, 2nd eds. J Wiley, New York, 1982.
3. [3] Q.-T. Luong, Color in computer vision, C.H. Chen, L.F. Pau, P.S.P. Wang, eds. Handbook of Pattern Recognition & Computer Vision, Ch. 2.3, pp. 311-368. World Scientific, Singapore, 1993.
4. [4] Y.I. Ohta, T. Kanade, T. Sakai. Color information for region segmentation, Comput. graphics Image Process. 13 (1980) 222-241.
5. [5] W.K. Pratt, Spatial transform coding of color images, IEEE Trans. Comm. Technol 19(6) (1971) 980-992.
6. [6] C.L. Novak, S.A. Shafer, Methods for estimating scene parameters from color histograms, J. Opt. Soc. Am. A. 11 (1994) 3020-3036.
7. [7] R.M. Haralick, K. Shanmugan, I. Dinstein, Texture for image classification, IEEE Trans. Systems Man Cybernet 3(3), (1973) 610-621.
8. [8] T.R. Reed, J.M.H. du Buf, A review of recent texture segmentation and feature extraction techniques, CVGIP: Image Understanding 57(3) (1993) 359-372.
9. [9] D. Lee, R. Barber, W. Niblack, M. Flickner, J. Hafner, D. Petkovic, Indexing for complex queries on a query-by-content image database, Proc. of the 12nd IAPR Int. Conf. on Pattern Recognition. Vol. I, pp. 142-146, Jerusalem, Israel, 1994.
10. [10] J.R. Smith, S. Chang, Local color and texture extraction and spatial query, IEEE Proc. Int. Conf. on Im. Proc. Vol. III, 1996, pp. 1011-1014.
11. [11] T. Caelli, D. Reye, On the classification of image regions by colour texture and shape, Pattern Recognition 26(4) (1993) 461-470.
12. [12] S.C. Tan, J. Kittler, On color texture representation and classification, Proc. of the 2nd Int. Conf. on Image Processing, 1992, pp. 390-395.
13. [13] M. Hauta-Kasari, J. Parkkinen, T. Jaaskelainen, R. Lenz, Generalized co-occurrence matrix for multispectral texture analysis, Proc. of the 13th Int. Conf. on Pattern Recognition, 1996, pp. 785-789.
14. [14] D.K. Panjwani, G. Healey, Markov random field models for unsupervised segmentation of textured color images, IEEE Trans. Pattern Anal. Machine Intell 17(10) (1995) 939-954.
15. [15] R. Kondepudy, G. Healey, Use of invariants for recognition of three dimensional textures, J. Opt. Soc. Am. 11(11) (1994) 3037-3049.
16. [16] G. Healy, Lizhi Wang, Illumination-invariant recognition of texture in color images, J. Opt. Soc. Am. A 12(9) (1995) 1877-1883.
17. [17] J. Kittler, R. Marik, M. Mirmedhi, M. Petrou, J. Song, Detection of defects in colour texture surfaces, Proc. of the IAPR Workshop on Machine Vision Applic., pp. 558-567. Tokyo, Japan, 1994.
18. [18] T.S. Lee, Image repregentation using 2d gabor wavelets, IEEE Trans. Pattern Anal. Mach. Intell. 18(10) (1996) 959-971.
19. [19] I. Daubechies, Ten Lectures on Wavelets. Capital City Press, Montpellier, Vermont 1992.
20. [20] S. Mallat, A theory for multiresolution signal decomposition: the wavelet representation, IEEE Trans. Patt. Anal. Mach. Intell. 11(7) (1989) 674-693.
21. [21] T. Chang, C.-C.J. Kuo, Texture analysis and classification with tree-structured wavelet transform, IEEE Trans. Image. Process. 2(4) (1993) 429-441.
22. [22] A. Laine, J. Fan, Texture classification by wavelet packet signatures, IEEE Trans. Patt. Anal. Mach. Intell. 15(11) (1993) 1186-1190.
23. [23] M. Unser, Texture classification and segmentation using wavelt frames. IEEE Trans. Image Process. 4(11) (1995) 1549-1560.
24. [24] O. Pichler, A. Teuner, B.J. Hosticka, A comparison of texture feature extraction using adaptive gabor filtering, pyramidal and tree structured wavelet transforms, Pattern Recognition 29(5) (1996) 733-742.
25. [25] H. Levkowitz, G.T. Herman, Glhs: a generalized lightness, hue and saturation model, CVGIP 11(11) (1994) 3011-3019.
26. [26] R.O. Duda, P.E. Hart, Pattern Classification and Scene Analysis. Wiley, New York, 1973.
27. [27] P.A. Devijver and J. Kittler, Pattern Recognition: A Statistical Approach. Prentice-Hall, Englewood Cliffs, NJ, 1982.
28. [28] P. Pudil, J. Novovicova, J. Kittler, Floating search methods in feature selection. Pattern Recognition Lett 15 (1994) 1119-1125.
29. [29] A. Jain, D. Zongker, Feature selection - evaluation, application, and small sample performance, IEEE Trans. Pattern Anal. Mach. Intell. 19(2) (1997) 153-158.
30. [30] VisTex, Color image database, http://www-white.media.mit.edu/vismod/imagery/Vision Texture. MIT Media Lab, 1995.
31. [31] M. Unser, A. Aldroubi, M. Eden, A family of polynomial spline wavelet transforms, Signal Process. 30 (1993) 141-162.