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Texture segmentation using modulated wavelet transform

The wavelet (packet) transform has been widely used for texture analysis; however, the extracted features of similar textures with symmetric orientations are indistinguishable. Motivated by the AM-FM representation, the so called modulated wavelet (packet) transform that can be implemented efficient...

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Published in:	IEEE transactions on image processing 2000-07, Vol.9 (7), p.1299-1302
Main Author:	HSIN, H.-C
Format:	Article
Language:	English
Subjects:	Algorithm design and analysis Applied sciences Exact sciences and technology Frequency Gabor filters Image processing Image segmentation Information, signal and communications theory Representations Segmentation Signal processing Spatial resolution Surface layer Telecommunications and information theory Texture Transforms Tuning Wavelet Wavelet analysis Wavelet coefficients Wavelet packets Wavelet transforms
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container_title	IEEE transactions on image processing
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creator	HSIN, H.-C
description	The wavelet (packet) transform has been widely used for texture analysis; however, the extracted features of similar textures with symmetric orientations are indistinguishable. Motivated by the AM-FM representation, the so called modulated wavelet (packet) transform that can be implemented efficiently by the conventional pyramid (tree) structured algorithms is developed. The performance of this new transform is demonstrated on the segmentation of Brodatz (1966) textures and an aerial image of San Francisco.
doi_str_mv	10.1109/83.847843
format	article
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source	IEEE Electronic Library (IEL) Journals
subjects	Algorithm design and analysis Applied sciences Exact sciences and technology Frequency Gabor filters Image processing Image segmentation Information, signal and communications theory Representations Segmentation Signal processing Spatial resolution Surface layer Telecommunications and information theory Texture Transforms Tuning Wavelet Wavelet analysis Wavelet coefficients Wavelet packets Wavelet transforms
title	Texture segmentation using modulated wavelet transform
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