Title :
Texture analysis and classification with the nonseparable wavelet transform
Author :
Mojsilovic, Aleksandra ; Markovic, Srdan ; Popovic, Miodrag
Author_Institution :
Fac. of Electr. Eng., Belgrade Univ., Serbia
Abstract :
This paper investigates the application of nonseparable wavelet transform for the texture characterization. On a set of 21 Brodatz textures we have performed traditional dyadic wavelet decomposition (in two levels) and nonseparable quincunx decomposition (in six levels), testing their ability to classify textures in: (a) normal working conditions, (b) noisy environment, and (c) with respect to rotation. Our experiments have shown that the quincunx transform is appropriate for characterization of noisy data, small number of resolution levels and shorter feature vectors and rotationally invariant description
Keywords :
band-pass filters; filtering theory; image classification; image resolution; image texture; noise; two-dimensional digital filters; wavelet transforms; 2D filter bank; Brodatz textures; dyadic wavelet decomposition; experiments; feature vectors; noisy data; noisy environment; nonseparable quincunx decomposition; nonseparable wavelet transform; normal working conditions; quincunx transform; resolution levels; rotation; rotationally invariant description; texture analysis; texture characterization; texture classification; Filter bank; Frequency domain analysis; Image sampling; Lattices; Sampling methods; Shape; Testing; Wavelet analysis; Wavelet transforms; Working environment noise;
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
DOI :
10.1109/ICIP.1997.632047
