Wavelet descriptor of planar curves: Theory and applications

被引：228

作者：

Chuang, GCH

Kuo, CCJ

机构：

[1] UNIV SO CALIF, DEPT ELECT ENGN SYST, LOS ANGELES, CA 90089 USA

[2] UNIV SO CALIF, INST SIGNAL & IMAGE PROC, LOS ANGELES, CA 90089 USA

来源：

IEEE TRANSACTIONS ON IMAGE PROCESSING | 1996年 / 5卷 / 01期

基金：

美国国家科学基金会;

关键词：

D O I：

10.1109/83.481671

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

By using the wavelet transform, we develop a hierarchical planar curve descriptor that decomposes a curve into components of different scales so that the coarsest scale components carry the global approximation information while the finer scale components contain the local detailed information, We show that the wavelet descriptor has many desirable properties such as multiresolution representation, invariance, uniqueness, stability, and spatial localization, A deformable wavelet descriptor is also proposed by interpreting the wavelet coefficients as random variables, The applications of the wavelet descriptor to character recognition and model-based contour extraction from low SNR images are examined, Numerical experiments are performed to illustrate the performance of the wavelet descriptor.

引用

页码：56 / 70

页数：15

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