Comparative analysis of reflection symmetry detection methods in binary raster images with skeletal and contour representations
Автор: Seredin Oleg Sergeevich, Kushnir Olesia Aleksandrovna, Fedotova Sofia Antonovna
Журнал: Компьютерная оптика @computer-optics
Рубрика: Обработка изображений, распознавание образов
Статья в выпуске: 6 т.46, 2022 года.
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The study is a comparative analysis of two fast reflection symmetry axis detection methods: an algorithm to refine the symmetry axis found with a chain of skeletal primitives and a boundary method based on the Fourier descriptor. We tested the algorithms with binary raster images of plant leaves (FLAVIA database). The symmetry axis detection quality and performance indicate that both methods can be used to solve applied problems. Neither method demonstrated any significant advantage in terms of accuracy or performance. It is advisable to integrate both methods for solving real-life problems.
Binary raster image, reflection symmetry, jaccard measure, fourier descriptor
Короткий адрес: https://sciup.org/140296240
IDR: 140296240 | DOI: 10.18287/2412-6179-CO-1115
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