Frame representations for texture segmentation

被引：58
|
作者：
Laine, A
Fan, J
机构：
[1] Computer and Information Sciences, Engineering Department, University of Florida, Gainesville
来源：
IEEE TRANSACTIONS ON IMAGE PROCESSING | 1996年 / 5卷 / 05期
关键词：
D O I：
10.1109/83.499915
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We introduce a novel method of feature extraction for texture segmentation that relies on multichannel wavelet frames and 2-D envelope detection, We describe and compare two algorithms for envelope detection based on (1) the Hilbert transform and (2) zero crossings. We present criteria for filter selection and discuss quantitatively their effect on feature extraction. The performance of our method is demonstrated experimentally on samples of both natural and synthetic textures.
引用
收藏
页码：771 / 780
页数：10
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