DocumentCode :
1756689
Title :
Comments on “SVD-Based Modeling for Image Texture Classification Using Wavelet Transform”
Author :
Nam Chul Kim ; Hyun Joo So
Author_Institution :
Sch. of Electron. Eng., Kyungpook Nat. Univ., Daegu, South Korea
Volume :
22
Issue :
12
fYear :
2013
fDate :
Dec. 2013
Firstpage :
5408
Lastpage :
5408
Abstract :
This correspondence points out that in there are some errors in two important formulas and the performance of the proposed singular value decomposition (SVD) feature is severely overestimated. It also presents a modified SVD feature which competes with the Gabor feature.
Keywords :
image classification; image texture; singular value decomposition; wavelet transforms; Gabor feature; SVD-based modeling; image texture classification; modified SVD feature; singular value decomposition; wavelet transform; Feature extraction; Image texture; Singular value decomposition; Training; Wavelet transforms; Image texture classification; Kullback-Leibler distance (KLD); singular value decomposition (SVD); Algorithms; Artificial Intelligence; Image Enhancement; Image Interpretation, Computer-Assisted; Pattern Recognition, Automated; Signal Processing, Computer-Assisted;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/TIP.2013.2279319
Filename :
6583952
Link To Document :
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