Multiresolution Level Set Studying Based on Wavelet Transform
基于小波变换的多尺度水平集算法研究

A new level set way based on multiresolution wavelet transform was proposed,in order to solve the problem of the level set that will often converge to the local gradient maximum region or fake edges.First,the gauss derived function was used as wavelet function to get some different scale and directional images.Second,the intensity dependent spread(IDS) model was used to estimate the value of scale factors.Then,using the decreasing function of x,y two-direction wavelet transforms modulus as the stop item and evolves the level set function.Finally,the experimental results showed that the developed algorithm is verified better than the traditional one.