Title :
Texture segmentation using modulated wavelet transform
Author_Institution :
Dept. of Electr. Eng., Chung-Hua Univ., Hsinchu, Taiwan
fDate :
7/1/2000 12:00:00 AM
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;
Journal_Title :
Image Processing, IEEE Transactions on
