An efficient C-V model with Wavelets
We propose an efficient C-V model with wavelet transform to speed up the C-V model evolution. Firstly, the image is decomposed into the downsizing and approximation sub-image with wavelet transform. Then the sub-image composed with the approximation wavelet coefficient matrix is pre-segmented using C-V model to get an approximation curve in a short time. Thirdly, 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 this model.
efficient C-V model wavelet transformation pre-segmentation fine segmentation
Jifei Liu Li Min
School of information and Control Engineering, Shenyang Jianzhu University Shenyang, China School of Traffic and Mechanical Engineering, Shenyang Jianzhu University Shenyang, China
国际会议
南昌
英文
165-168
2012-08-26（万方平台首次上网日期，不代表论文的发表时间）