Title :
Zero-crossing rates of wavelet frame representations for texture classification
Author_Institution :
Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
fDate :
10/24/2002 12:00:00 AM
Abstract :
The zero-crossing rates (ZCRs) of the wavelet frame representation of texture images are proposed as features for texture classification. Results indicate that ZCR features lower the probability of error (PE) by 40% over energy (EN) and correlation coefficient features. Augmenting ZCR features with EN features improves the PE by 70% over ZCR features alone.
Keywords :
image classification; image representation; image texture; wavelet transforms; ZCR features; correlation coefficient features; energy features; image processing; probability of error; texture classification; texture images; wavelet frame representation; zero-crossing rates;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20020887
