Frame Representations for Texture Segmentation

Laine, Andrew F.; Fan, Jian

We introduce a novel method of feature extraction for texture segmentation that relies on multichannel wavelet frames and 2-D envelope detection. We describe and compare two algorithms for envelope detection based on (1) the Hilbert transform and (2) zero crossings. We present criteria for filter selection and discuss quantitatively their effect on feature extraction. The performance of our method is demonstrated experimentally on samples of both natural and synthetic textures.


Also Published In

IEEE Transactions on Image Processing

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Academic Units
Biomedical Engineering
Published Here
August 11, 2010