A New Texture Feature Based on PCA Pattern Maps and Its Application to Image Retrieval

IEICE Transactions on Information and Systems

Volumn E86-D, Issue 5, 2003, Pages 929-936

  Zeng, Xiang Yan ^a   Chen, Yen Wei ^a,b   Nakao, Zensho ^a   Lu, Hanqing ^c  

^a UNIVERSITY OF THE RYUKYUS   (Japan)

^b OCEAN UNIVERSITY OF CHINA   (China)

^c NONE

Author keywords

Image retrieval; Pattern matching; PCA pattern map; Principal component analysis (PCA); Texture feature

Indexed keywords

DATABASE SYSTEMS; PATTERN MATCHING; PRINCIPAL COMPONENT ANALYSIS; TEXTURES;

PATTERN MAPS;

IMAGE RETRIEVAL;

EID: 0141903529     PISSN: 09168532     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (17)

1. J. Mao and A.K. Jain, "Texture classification and segmentation using multiresolution simultaneous autoregressive models," Pattern Recognit., vol.25, pp.173-188, 1992.
2. M. Unser, "Texture classification and segmentation using wavelet frames," IEEE Trans. Image Process., vol.4, pp. 1549-1560, 1995.
3. A.C. Bovic, M. Clark, and W.S. Geisler, "Multichannel texture analysis using localized spatial filters," IEEE Trans. Pattern Anal. Mach. Intell., vol.12, no.1, pp.55-73, 1990.
4. D. Dunn, W.E. Higgins, and J. Wakeley, "Texture segmentation using 2-D Gabor elementary functions," IEEE Trans. Pattern Anal. Mach. Intell., vol.16, no.2, pp.130-149, 1994.
5. A.K. Jain and F. Farroknia, "Unsupervised texture segmentation using Gabor filters," Pattern Recognit., vol.24, pp.1167-1186, 1991.
6. B.S. Manjunath and W.Y. Ma, "Texture features for browsing and retrieval of image data," IEEE Trans. Pattern Anal. Mach. Intell., vol.18, no.8, pp.837-842, 1996.
7. X.-Y. Zeng, Y.-W. Chen, Z. Nakao, and H.-Q. Lu, "Texture segmentation based on pattern maps obtained by principal component analysis," Proc. Int. Technical Conf. on Circuits/Systems, Computers and Commiunication, pp.1058-1061, Tokushima, Japan, 2001.
8. Y.-W. Chen, X.-Y. Zeng, Z. Nakao, and H.-Q. Lu, "Edge detection by learning the principal components of images," Proc. Int. Workshop on Intelligent Signal Processing, pp.69-72, Hungary, 2001.
9. K.I. Kim, S.H. Park, and H.J. Kim, "Kernel principal component analysis for texture classification," IEEE Signal Process. Lett., vol.8, no.2, pp.39-41, 2001.
10. R.W. Swiniarski and L. Hargis, "Rough sets as a front end of neural-networks texture classifiers," Neurocomputing, vol.36, pp.85-102, 2001.
11. P. J. B. Hancock, R. J. Baddeley, and L. S. Smith, "The principal components of natural images," Network, vol.3, pp.61-70, 1992.
12. J.S. Pan and J.W. Wang, "Texture segmentation using separable and non-separable wavelet frames," IEICE Trans. Fundamentals, vol.E82-A, no.8, pp.1463-1474, Aug. 1999.
13. T.D. Sanger, "Optimal unsupervised learning in a single layer linear feedforward neural network," Neural Networks, vol.2, pp.459-473, 1989.
14. P. Brodatz, Textures, A Photographic Album for Artists and Designers, Dover, Mineola, NY, 1966.
15. R. Duda and P. Hart, Pattern Classification and Scene Analysis, John Wiley & Sons, New York, 1973.
16. A. Pentlard, R.W. Picard, and S. Sclarroff, "Photobook: Cont-based manipulation of image databases," Int. J. Comput. Vis., vol.18, no.3, pp.233-254, 1996.
17. Y. Tamashiro, T. Tateyama, and Y.-W. Chen, "A color and texture fusion techinique for classification of high resolution satellite images," IEICE Technical Report, 2002, HIP200190.