Title :
Texture classification using third order correlation tools
Author :
Coroyer, Christopher ; Declercq, David ; Duvaut, Patrick
Author_Institution :
LACOS, Le Havre Univ., France
Abstract :
This study presents a new method for textures classification based on higher order statistics (HOS). We propose the use of third order correlation tools for texture analysis. We compare the performance of three different tools: the bicorrelation in the spatial domain, the bispectrum in the frequency domain and the bicorspectrum which is a spatial/frequency representation in that case. We test classification on representative textures of Brodatz album
Keywords :
correlation methods; frequency-domain analysis; higher order statistics; image classification; image texture; spectral analysis; Brodatz album; bicorrelation; bicorspectrum; bispectrum; classification; frequency domain; higher order statistics; performance; spatial domain; spatial/frequency representation; texture classification; third order correlation tools; Frequency domain analysis; Frequency estimation; Gabor filters; Gaussian processes; Higher order statistics; Plastics; Statistical analysis; Testing; Wavelet analysis; Wool;
Conference_Titel :
Higher-Order Statistics, 1997., Proceedings of the IEEE Signal Processing Workshop on
Conference_Location :
Banff, Alta.
Print_ISBN :
0-8186-8005-9
DOI :
10.1109/HOST.1997.613510
