Contour Data Denoise Based on Inter-Scale Correlations of Contourlet Transform

Because CT slice outline data has a lot of noise,, proposed the multi-scale analysis method based on the curvature wavelet transform. Using the inter-scale correlation to achieve denoise and features detection. Not only solved the single-scale can not effectively remove contour noise, but also solved the contour detection difficult and the poor fitting accuracy problems which were caused by sharp fluctuations of line features.