Centerline Extraction Based on Cross-section Algorithm and Snake Model
Centerline is an important representation of object geometry.This paper presents an efficient method to extract centerlines from 3D binary images of tree-like objects.First,based on cross-section algorithm,the initial centerlines are efficiently located near the targets.Then Snake modeling and distance transform approach is adopted to move the initial centerlines to their accurate locations.The method solves the problems of slow convergence and convergence at local maxima of Snakes due to their initial positions far from the targets.