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...

Full description

Saved in:
Bibliographic Details
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
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1057-7149
1941-0042
DOI:10.1109/83.847843