1996 Articles
Frame Representations for Texture Segmentation
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.
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Also Published In
- Title
- IEEE Transactions on Image Processing
- DOI
- https://doi.org/10.1109/83.499915
More About This Work
- Academic Units
- Biomedical Engineering
- Published Here
- August 11, 2010