Texture classification based on discriminative features extracted in the frequency domain

Proceedings - International Conference on Image Processing, ICIP

Volumn 2, Issue , 2007, Pages

  Lillo, Antonella Di ^a   Mottet, Giovanni ^b   Storer, James A ^a  

^a BRANDEIS UNIVERSITY   (United States)

^b HEWLETT PACKARD COMPANY   (United States)

Author keywords

Image texture analysis; Pattern classification

Indexed keywords

DIMENSIONALITY REDUCTIONS; DOMAIN BASED METHODS; FEATURE EXTRACTION METHODS; FORMAL DEFINITIONS; FREQUENCY DOMAINS; HUMAN VISUAL SYSTEMS; IMAGE TEXTURE ANALYSIS; KEY COMPONENTS; PATTERN CLASSIFICATION; POLAR SPACES; RETRIEVAL SYSTEMS; STANDARD TESTS; SUPERVISED SEGMENTATIONS; TEXTURE CLASSIFICATIONS; TEXTURED REGIONS;

DIGITAL IMAGE STORAGE; DISCRETE FOURIER TRANSFORMS; FEATURE EXTRACTION; FILMS; FOURIER TRANSFORMS; IMAGE PROCESSING; IMAGE RETRIEVAL; IMAGE SEGMENTATION; IMAGING SYSTEMS; INFORMATION RETRIEVAL; TEXTURES; VECTOR QUANTIZATION;

FREQUENCY DOMAIN ANALYSIS;

EID: 48149093693     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2007.4379090     Document Type: Conference Paper

References (14)

1. nd Edition), World Scientific Publishing Co., pp. 207-248, 1998.
2. T. Randen, J. H. Husøy, "Filtering for Texture Classification: A Comparative Study," IEEE Trans. on Pattern Analysis and Machine Intelligence, 21:4, pp.291-310, 1999.
3. T. Mäenpää M. Pietikäinen, and T. Ojala, "Texture Classification by Multi-Predicate Local Binary Pattern Operators," ICPR, pp. 3951-3954, 2000.
4. T. Ojala, M. Pietikäinen, and D. Harwood, "A Comparative Study of Texture Measures with Classification Based Feature Distributions", Pattern Recognition, vol. 29, pp. 51-59, 1996.
5. K. Pyun, C. S. Won, J. Lim, and R. M. Gray, "Texture classification based on multiple Gauss mixture vector quantizers," Proc. of ICME 2002, pp. 501-504, 2002.
6. A. Aiyer, K. Pyun, Y. Huang, D. B. O'Brien, and R. M. Gray "Lloyd Clustering of Gauss Mixture Models for Image Compression and Classification," Signal Processing: Image Communication, 2005.
7. th Int. Conf. on Pattern Recognition, Quebec, Canada, 1, pp. 701-706, 2002.
8. C. B. Blakemore, F. W. Campbell, "On the existence of neurons in the visual system selectivity sensitive to the orientation and size of retinal, images," J. Physiol. 203, pp. 237-260, 1969.
9. F. W. Campbell, J. Naclnnias, J. Jukes, "Spatial, frequency discrimination in human vision," J. Opt. Soc. Am., 60, pp. 555-559, 1970.
10. L. Maffei, A. Fiorentini, "The visual cortex as a spatial frequency analyzer," Vision. Res. 13, pp. 1255-1267, 1973.
11. R. L. de Valoris, D. G. Albrecht, L. G. Thorell, "Spatial frequency selectivity of cells in macaque visual cortex," Vision Res., 22, pp. 545-559, 1982.
12. J. Schürman, Pattern Classification, a unified view of statistical and neural approaches, John Wiley & Sons, 1996.
13. M. Kuwahara, K. Hachimura, S. Eiho, M. Kinoshita, Digital Processing of Biomedical Images, Plenum Press, New York, pp. 187-203, 1976.
14. P. Brodatz, Textures: A Photographic Album for Artists and Designers, New York, Dover, 1996