Texture recognition and image retrieval using gradient indexing

Journal of Visual Communication and Image Representation

Volumn 11, Issue 3, 2000, Pages 327-342

  Tao, Bo ^a   Dickinson, Bradley W ^b  

^a SONY CORPORATION   (Japan)

^b Princeton University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; FEATURE EXTRACTION; IMAGE ANALYSIS; MATHEMATICAL OPERATORS;

CONTENT-BASED RETRIEVALS; FEATURE VECTORS; GRADIENT INDEXING;

PATTERN MATCHING;

EID: 0034272623     PISSN: 10473203     EISSN: None     Source Type: Journal    
DOI: 10.1006/jvci.2000.0448     Document Type: Article

References (28)

1. Haralick R. Statistical and structural approaches to texture. Proc. IEEE. 67:1979;786-804.
2. W. Niblack, R. Barber, W. Equitz, M. Flickner, E. Glasman, D. Petkovic, P. Yanker, C. Faloutsos, and G. Taubin, The QBIC project: Querying images by content using color, texture and shape, in Storage Retrieval for Image and Video Databases, SPIE vol. 1908, pp. 173-187, 1993.
3. Tao B., Robbins K., Dickinson B. Image retrieval with templates of arbitrary size. Storage and Retrival for Image and Video Databases V. 3022:1997;2-11.
4. Chellappa R., Chatterjee S. Classification of textures using Gaussian Markov random fields. IEEE Trans. Acous. Speech Signal Proc. 33:1985;959-963.
5. Cohen F., Fan Z., Patel M. Classification of rotated and scaled textured images using Gaussian Markov random field models. IEEE Trans. Pattern. Anal. Machine Intel. 13:1991;192-202.
6. Lu S., Fu S. Stochastic tree grammar inference for texture synthesis and discrimination. Comput. Graphics Image Process. 9:1979;234-245.
7. Zucker S., Rosenfeld A., Davis L. Picture segmentation by texture discrimination. IEEE Trans. Comput. 24:1975;1228-1233.
8. Weszka J., Dyer C., Rosenfeld A. A comparative study of texture measures for terrain classification. IEEE Trans. Sys. Man Cybern. 6:1976;269-285.
9. Haralick R., Shanmugam K., Dinstein I. Textural features for image classification. IEEE Trans. Syst. Man Cybernet. 8:1973;610-612.
10. Chang T., Kuo C. Texture analysis and classification with tree-structure wavelet transform. IEEE. Trans. Image Process. 2:1993;429-441.
11. Tao B., Dickinson B. Texture classification on block-transformed data. Visual Communications and Image Processing. 3024:1997;964-971.
12. Bovic A., Clark M., Geisler W. Multichannel texture analysis using localized spatial filters. IEEE Trans. Pattern Anal. Machine Intel. 12:1990;55-73.
13. Unser M. Local linear transforms for texture measurements. Signal Process. 11:1986;61-79.
14. Laws K. University of Southern California. Texture Image Segmentation. 1980.
15. Wang L., He D. Texture classification using texture spectrum. Pattern Recognit. 23:1990;905-910.
16. Ade F. Characterization of texture by eigenfilter. Signal Process. 5:1983;451-457.
17. Gonzalez R., Woods R. Digital Image Processing. 1993.
18. Sutton R., Hall E. Texture measures for automatic classification of pulmonary disease. IEEE Trans. Comput. 21:1972;667-676.
19. Rosenfeld A., Thurston M. Edge and curve detection for visual scene analysis. IEEE Trans. Comput. 20:1971;562-569.
20. Caelli T., Reye D. On the classification of image regions by color, textrue and shape. Pattern Recognit. 26:1993;461-470.
21. McLean G., Jernigan M. Indicator functions for adaptive image processing. J. Opt. Soc. Amer. A. 8:1991;141-156.
22. Swain M., Ballard D. Color indexing. Internat. J. Comput. Vision. 7:1991;11-32.
23. Brodatz P. Textures: A Photographic Album for Artists and Designers. 1966.
24. Pentland A., Ricard R., Sclaroff S. Photobook: Tools for content-based manipulation of image databases. Storage and Retrieval of Image and Video Databases. 2185:1994;34-47.
25. H. Stone, and, C. Li, Image matching by means of intensity and texture matching in the Fourier domain, Technical report, NEC Research Institute, 1995.
26. Fukunaga K. Statistical Pattern Recognition. 1990.
27. Wilson R., Hancock E. Structural matching by discrete relaxation. IEEE Trans. Pattern Anal. Machine Intel. 19:1997;634-648.
28. R. Chellappa, Two-dimensional discrete Gaussian Markov random field models for image processing, in Progress in Pattern RecognitionL. Kanal and A. Rosenfeld, eds., pp. 79-112, Elsevier1985.