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Mirror symmetry detection in digital imagesстатья Исследовательская статья
- Авторы: Mestetskiy L., Zhuravsraya A.
- Сборник: VISIGRAPP 2020, Proc. of 15th Int. Joint Conf. on Computer Vision, Imaging and Computer Graphics Theory and Applications
- Серия: VISAPP
- Том: 4
- Год издания: 2020
- Место издания: SCITEPRESS – Science and Technology Publications, Lda Portugal
- Первая страница: 331
- Последняя страница: 337
- Аннотация: 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.
- Добавил в систему: Местецкий Леонид Моисеевич