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Texture segmentation using modulated wavelet transform
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DOI：10.1109/83.847843.png)
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摘要
En 中文
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 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 textures and an aerial image of San Francisco.
Keyword:
feature contrast analysis
segementation
wavelet transform
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期刊
IF:
13.7
论文数:
1.0W
被引数:
8.4W
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引用论文
An unsupervised texture segmentation algorithm with feature space reduction and knowledge feedback
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