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基于提升小波的颤振图像边缘检测方法研究
引用本文:王幼松,蒋韶辉,裴承鸣.基于提升小波的颤振图像边缘检测方法研究[J].机械设计与制造,2005,256(6):15-17.
作者姓名:王幼松  蒋韶辉  裴承鸣
作者单位:西北工业大学,数据处理中心,西安,710072
摘    要:这里基于提升小波理论重点研究了图像边缘检测问题,提出了一种新的图像多尺度边缘检测方法,该检测方法适用于多种线性或非线性双正交小波,具有运算速度快、检测精度高等特点;并基于此边缘检测技术,研究了飞机结构颤振的边界预测问题,给出了一种新的稳定性参数估计方法。

关 键 词:提升小波  边缘检测  时频共振
文章编号:1001-3997(2005)06-0015-02
修稿时间:2004年11月29

A new method of flutter image edge detection based on lifting wavelet
WANG You-song,JIANG Shao-hui,Pei Cheng-ming.A new method of flutter image edge detection based on lifting wavelet[J].Machinery Design & Manufacture,2005,256(6):15-17.
Authors:WANG You-song  JIANG Shao-hui  Pei Cheng-ming
Abstract:In this paper, a new method of multi - scale edge detection of image signal is presented based on lifting wavelet. The results show us that the method can be used to many kind of biorthogonal wavelets with the advatages of fast speed and higher precision. According to the features and requirements of flutter test signal, the method for edge detection is used to pickup the major information of signal image, and a new technique is brought out for the flutter boundary prediction.
Keywords:Lifting wavelet  Edge detection of image  Syntony of time and frequency
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