Multiscale Edge Detection Of Image Based On Lifting Wavelet And It's Application

Wavelet transform has been developed quickly in recent decades. Being as the second-generation wavelet with the special algorithm structure, the lifting wavelet is proposed for improving the operation speed of traditional wavelet. In this thesis, a new method of multiscale edge detection of image signal is presented based on lifting wavelet. The related characteristics of the method are studied by numerical simulation. The results show us that the method can be used to many kind of biorthogonal wavelets with the advantages 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. The feasibility of the technique is examined by using compute simulation and flutter testing of aeroelastic models in low-speed wind tunnel.All the calculation software is completed under the Matlab and LabView for windows.