DocumentCode
1126676
Title
Comments on "On Image Matrix Based Feature Extraction Algorithms
Author
Quanxue Gao ; Lei Zhang ; Zhang, Dejing ; Jian Yang
Author_Institution
Xidian Univ., Xi´an
Volume
37
Issue
5
fYear
2007
Firstpage
1373
Lastpage
1374
Abstract
A class of image-matrix-based feature extraction algorithms has been discussed earlier. The correspondence argues that 2D principal component analysis and Fisher linear discriminant (FLD) are equivalent to block-based PCA and FLD. In this correspondence, we point out that this statement is not rigorous.
Keywords
feature extraction; principal component analysis; 2D principal component analysis; FLD; Fisher linear discriminant; PCA; feature extraction algorithms; image matrix; Covariance matrix; Feature extraction; Linear discriminant analysis; Principal component analysis; Scattering; Telecommunication computing; Two dimensional displays; 2-D linear discriminant analysis (LDA); 2-D principal component analysis (PCA); Feature extraction; Algorithms; Artificial Intelligence; Image Enhancement; Image Interpretation, Computer-Assisted; Pattern Recognition, Automated; Principal Component Analysis; Reproducibility of Results; Sensitivity and Specificity;
fLanguage
English
Journal_Title
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
Publisher
ieee
ISSN
1083-4419
Type
jour
DOI
10.1109/TSMCB.2007.899415
Filename
4305274
Link To Document