Mirror symmetry detection in digital imagesстатья Исследовательская статья

Дата последнего поиска статьи во внешних источниках: 12 августа 2020 г.

Работа с статьей

[1] Mestetskiy L., Zhuravsraya A. Mirror symmetry detection in digital images // VISIGRAPP 2020, Proc. of 15th Int. Joint Conf. on Computer Vision, Imaging and Computer Graphics Theory and Applications. — Vol. 4 of VISAPP. — SCITEPRESS – Science and Technology Publications, Lda Portugal, 2020. — P. 331–337. 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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