Color texture classification by wavelet energy correlation signatures

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1310, Issue , 1997, Pages 327-334

  van de Wouwer, G ^a   Livens, S ^a   Scheunders, P ^a   van Dyck, D ^a  

^a UNIVERSITY OF ANTWERP   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COLOR; IMAGE PROCESSING; LINEAR TRANSFORMATIONS; MATHEMATICAL TRANSFORMATIONS;

COLOR SPACE TRANSFORMATION; COLOR TEXTURE CLASSIFICATION; CORRELATION FEATURES; ENERGY FEATURE; IMAGE REPRESENTATIONS; MULTISCALE TECHNIQUE; TEXTURE ANALYSIS; WAVELET ENERGY;

IMAGE ANALYSIS;

EID: 79952526048     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-63507-6_218     Document Type: Conference Paper

References (20)

1. G. J. Klinker, S. A. Shafer, and T. Kanade. A physical approach to color image understanding. Int. J. Comput. Vision, 4: 7-38, 1990.
2. G. Wyszecki and W. S. Stiles, Color Science, Concepts and Methods, Quantitative Data and Formulas, 2nd ed. J. Wiley and Sons, New York, 1982.
3. Q-T Luong. Color in computer vision. In C. H. Chen, L. F. Pau, and P. S. P. Wang, editors, Handbook of Pattern Recognition & Computer Vision, chapter 2. 3, pages 311-368. World Scientific, Singapore, 1993.
4. Y. I. Ohta, T. Kanade, and T. Sakai. Color information for region segmentation. Computer graphics and image processing, 13: 222-241, 1980.
5. W. K. Pratt. Spatial transform coding of color images. IEEE Trans. Comm. Tech., 19(6): 980-992, 1971.
6. C. L. Novak and S. A. Shafer. Methods for estimating scene parameters from color histograms. J. Opt. Soc. Am. A., 11: 3020-3036, 1994.
7. T. R. Reed and J. M. H. du Buf. A review of recent texture segmentation and feature extraction techniques. CVGIP: Image Understanding, 57(3): 359-372, 1993.
8. D. Lee, R. Barber, W. Niblack, M. Flickner, J. Hafner, and D. Petkovic. Indexing for complex queries on a query-by-content image database. In Proc. of the 12nd IAPR Int. Conf. on Pattern Recognition, volume I, pages 142-146, Jerusalem, Israel, 1994.
9. J. R. Smith and S. Chang. Local color and texture extraction and spatial query. In IEEE Proc. Int. Conf. on Im. Proc., volume III, pages 1011-1014, 1996.
10. T. Caelli and D. Reye. On the classification of image regions by colour texture and shape. Pattern Recognition, 26(4): 461-470, 1993.
11. D. K. Panjwani and G. Healey. Markov random field models for unsupervised segmentation of textured color images. IEEE Trans. Pattern Anal. Machine Intell., 17(10): 939-954, 1995.
12. T. S. Lee. Image representation using 2d gabor wavelets. IEEE Trans. Patt. Anal. Machine Intell., 18(10): 959-971, 1996.
13. S. Mallat. A theory for multiresolution signal decomposition: the wavelet representation. IEEE Trans. Patt. Anal. Machine Intell., 11(7): 674-693, 1989.
14. T. Chang and C.-C. J. Kuo. Texture analysis and classification with tree-structured wavelet transform, IEEE Trans. Im. Proc. P, 2(4), 1993.
15. G. Van de Wouwer, P. Scheunders, D. Van Dyck, M. De Bodt, F. Wuyts, and P. H. Van de Heyning. Wavelet-filvq classifier for speech analysis. In Proc. Int. Conf. Patt. Rec., Vienna, pages 214-218, 1996.
16. O. Pichler, A. Teuner, and B. J. Hosticka. A comparison of texture feature extraction using adaptive gabor filtering, pyramidal and tree structured wavelet transforms. Pattern Recognition, 29(5): 733-742, 1996.
17. H. Levkowitz and G. T. Herman. Glhs: A generalized lightness, hue and saturation model. CVGIP, 11(11): 3011-3019, 1994.
18. P. A. Devijver and J. Kittler. Pattern recognition: a statitical approach. Prentice/Hall, Englewood Cliffs, New Jersey, 1982.
19. P. Pudil, J. Novovicova, and J. Kittler. Floating search methods in feature selection. Pattern Recognition Letters, 15: 1119-1125, 1994.
20. VisTex. Color image database. http://www-white. media. mit. edu/vismod/-imagery/VisionTexture, 1995. MIT Media Lab.