Texture segmentation using modulated wavelet transform

Author

Hsin, Hsi-Chin

Author_Institution

Dept. of Electr. Eng., Chung-Hua Univ., Hsinchu, Taiwan

Volume

9

Issue

7

fYear

2000

fDate

7/1/2000 12:00:00 AM

Firstpage

1299

Lastpage

1302

Abstract

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

Keywords

amplitude modulation; feature extraction; frequency modulation; image reconstruction; image representation; image resolution; image segmentation; image texture; trees (mathematics); wavelet transforms; AM-FM representation; Brodatz textures segmentation; San Francisco; aerial image; extracted features; frequency estimation; modulated wavelet transform; multiresolution analysis; packet transform; perfect reconstruction; performance; pyramid structured algorithms; symmetric orientations; texture analysis; texture segmentation; tree structured algorithms; Algorithm design and analysis; Frequency; Gabor filters; Image segmentation; Spatial resolution; Tuning; Wavelet analysis; Wavelet coefficients; Wavelet packets; Wavelet transforms;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/83.847843

Filename

847843