Heteroscedastic feature extraction for texture classification

IEEE Signal Processing Letters

Volumn 16, Issue 9, 2009, Pages 766-769

  Zheng, Wenming ^a  

^a Southeast University   (China)

Author keywords

Feature extraction; Linear discriminant analysis; Texture classification

Indexed keywords

APPROXIMATE SOLUTION; CLASS MEAN; CLASSIFICATION PERFORMANCE; DISCRIMINANT CRITERIA; FEATURE EXTRACTION METHODS; FISHER'S DISCRIMINANT; HETEROSCEDASTIC; JOINT DIAGONALIZATION; LINEAR DISCRIMINANT ANALYSIS; OPTIMAL DISCRIMINANT VECTOR; STATISTICAL PATTERN RECOGNITION; TEXTURE CLASSIFICATION;

COMPUTATIONAL COMPLEXITY; DISCRIMINANT ANALYSIS; TEXTURES;

FEATURE EXTRACTION;

EID: 77649272818     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2009.2023939     Document Type: Article

References (12)

1. K. Fukunaga, Introduction to Statistical Pattern Recognition, 2nd ed. New York: Academic, 1990.
2. R. O. Duda and P. E. Hart, Pattern Classification and Scene Analysis. New York: Wiley, 1973.
3. P. N. Belhumeur, J. P. Hespanha, and D. J. Kriegman, "Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection," IEEE Trans. Patt. Anal. Mach. Intell., vol. 19, no. 7, pp. 711-720, 1997. (Pubitemid 127762263)
4. D. L. Swets and J.Weng, "Using discriminant eigenfeatures for image retrieval," IEEE Trans. Patt. Anal. Mach. Intell., vol. 18, no. 8, pp. 831-836, 1996. (Pubitemid 126772824)
5. M. Loog and R. P. W. Duin, "Linear dimensionality reduction via a heteroscedastic extension of LDA: The Chernoff criterion," IEEE Trans. Patt. Anal. Mach. Intell., vol. 26, no. 6, pp. 732-739, 2004.
6. P. F. Hsieh, D. S.Wang, and C. W. Hsu, "A linear feature extraction for multiclass classification problems based on class mean and covariance discriminant information," IEEE Trans. Patt. Anal. Mach. Intell., vol. 28, no. 2, pp. 223-235, 2006.
7. A. Ziehe, P. Laskov, G. Nolte, and K.-R. Müller, "A fast algorithm for joint diagonalization with non-orthogonal transformations and its applicaiton to blind source separation," J. Mach. Learn. Res., vol. 5, pp. 777-800, 2004.
8. T. Brodatz, Textures: A Photographic Album for Artists and Designers. New York: Dover, 1996.
9. T. Ojala, M. Pietikainen, and T. Mäenpää, "Multiresolution gray-scale and rotation invariant texture classification with local binary patterns," IEEE Trans. Patt. Anal. Mach. Intell., vol. 24, no. 7, pp. 971-987, 2002. (Pubitemid 34835471)
10. H. Yu and J. Yang, "A direct LDA algorithm for high-dimensional data-with application to face recognition," Pattern Recognit., vol. 34, pp. 2067-2070, 2001.
11. X. Liu, A. Srivastava, and K. Gallivan, "Optimal linear representations of images for object recognition," IEEE Trans. Patt. Anal. Mach. Intell., vol. 26, no. 5, pp. 662-666, 2004.
12. M. Pietikainen, T. Ojala, and Z. Xu, "Rotation-invariant texture classification using feature distributions," Pattern Recognit., vol. 33, pp. 43-52, 2000. (Pubitemid 32081877)