An Efficient C-V Model Based on DWT in Image Segmentation
WU Yu-hou · Journal of Shenyang Jianzhu University · 2012
We propose an efficient C-V model based on wavelet transform to speed up the C-V model evolution.The image is decomposed into the downsizing and approximation sub-image with DWT.Then the sub-image is pre-segmented with C-V model to get an approximation curve in a short time.In order to get a fine segmentation,the original image is segmented subtly using C-V model again,of which the initial curve is reconstructed by the result of pre-segmentation.The experimental results validate the effectiveness and feasibility of our method.