Mirror Symmetry Detection in Digital Images

L. Mestetskiy, A. Zhuravskaya

Abstract

This article proposes an approach to the recognition of symmetrical objects in digital images, based on a quantitative asymmetry measure construction of such objects. The object asymmetry measure is determined through the Fourier descriptor of a discrete object boundary points sequence. A method has been developed for calculating the asymmetry measure and determining the most likely symmetry axis based on minimizing the asymmetry measure. The proposed solution using the Fourier descriptor has a quadratic complexity in the number of the object boundary points. A practical assessment of the efficiency and effectiveness of the algorithm is obtained by computational experiments with silhouettes of aircraft in remote sensing images.

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