Axial Symmetry Detection Using AF8 Code

Symmetry is a very common geometric feature in natural objects and, highly marked, in artificial objects; particularly, mirror symmetry is a relevant topic in fields such as computer vision and pattern recognition. Previous work on symmetry has shown that there are useful solutions to the problem of mirror symmetry detection; however, there are still important challenges to successfully model symmetry objects and properly detect multiple axes. And there is also the challenge of assigning a level of symmetry to quasi-symmetrical objects. In this paper, we propose an algorithm that detects level and axes of symmetry for quasi-mirror and mirror symmetry in 2D contours represented by AF8 code.