Title :
Texture classification using wavelet transform
Author :
DeBrunner, Victor ; Kadiyala, Madhavi
Author_Institution :
Sch. of Electr. & Comput. Eng., Oklahoma Univ., Norman, OK, USA
Abstract :
This paper describes an algorithm for classifying textures using wavelet transforms. A set of subband features improves the classification performance and is used to lower the computational complexity. The performance of our algorithm classifies better than tree-structured wavelet transform methods with lower complexity. We show that the choice of wavelet basis is critical
Keywords :
computational complexity; image classification; image texture; wavelet transforms; classification performance; computational complexity reduction; image texture classification; subband features; wavelet basis selection; wavelet transform; Application software; Classification tree analysis; Computational complexity; Feature extraction; Frequency; Image analysis; Image texture analysis; Low pass filters; Nonlinear filters; Wavelet transforms;
Conference_Titel :
Circuits and Systems, 1999. 42nd Midwest Symposium on
Conference_Location :
Las Cruces, NM
Print_ISBN :
0-7803-5491-5
DOI :
10.1109/MWSCAS.1999.867817
