Laine and Fan : Frame Representations for Texture
نویسندگان
چکیده
| We introduce a novel method of feature extraction for texture segmentation that relies on multi-channel wavelet frames and two-dimensional 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 lter selection and discuss quantitatively their eeect on feature extraction. The performance of our method is demonstrated experimentally on samples of both natural and synthetic textures.
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Laine and Fan : Frame Representations for Texture Segmentation
|We introduce a novel method of feature extraction for texture segmentation that relies on multi-channel wavelet frames and two-dimensional 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 lter selection and discuss quantitatively their e ect on feature extraction. The performance...
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تاریخ انتشار 1996