Rotation moment invariants for recognition of symmetric objects

Rotation moment invariants for recognition of symmetric objects
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DOI:
10.1109/tip.2006.884913
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发表时间:
2006-12-01
影响因子:
10.6
通讯作者:
Suk, Tomas
Suk, Tomas
中科院分区:
计算机科学1区
文献类型:
--
作者:
Flusser, Jan;Suk, Tomas

文献摘要

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本文提出了一组新的矩不变量的旋转,平移和缩放适用于识别具有N重旋转对称性的对象。前面描述的矩不变量不能用于此目的,因为大多数对称对象的矩消失了。这里提出的不变量是基于复杂的时刻。理论上证明了它们的独立性和完备性,实验证明了它们的性能。
In this paper, a new set of moment invariants with respect to rotation, translation, and scaling suitable for recognition of objects having N-fold rotation symmetry are presented. Moment invariants described earlier cannot be used for this purpose because most moments of symmetric objects vanish. The invariants proposed here are based on complex moments. Their independence and completeness are proven theoretically and their performance is demonstrated by experiments.