Matching cephalometric points via Ant Colony Optimization

Abstract

Many studies involve matching two graphs to identify their common characteristics. In this paper, we address the problem of matching of cephalometric points. This work is primarily based on a large scientific database, and cephalometric x-ray photos of four hindered patients with ground fact data produced by two doctors are collected of the human skull. Then to make the matching between these points, we advocate the Ant Colony Optimization algorithm specifically aimed at fixing the matching problem. Finally, this approach yields high-quality matching results.