ON PRACTICAL SOLUTION TO THE PROBLEM OF REFLECTION SYMMETRY DETECTION USING REFLECTION INVARIANTS
The task of reflection symmetry axis searching applied to binarized real-world images is very time-consuming. In [1], it is proposed to use reflection invariants for symmetry detection. This would allow us to determine asymmetric objects in images before starting the procedure of symmetry axis searching. In this work, the possibility of applying reflection invariants to the task of symmetry detection on binarized real-world images is experimentally tested. To do this, we compare values of reflection invariants to the objective symmetry measure calculated on the basis of Jaccard similarity. Experimental study was performed on Butterfly and MPEG 7 CE Shape-1 Part B datasets. Results show that it is impossible to use reflection invariants for fast detection of approximate symmetry on binary raster images.