CAJ | 학술논문

图像局部特征描述一直是图像配准与图像检索中极为重要的一部分。本文深入研究Gaussian-Hermite矩及其旋转不变矩的性质，根据尺度因子不影响其旋转不变性的特点，提出基于多尺度Gaussian-Hermite矩的图像局部特征描述方法，并通过实例与现有的特征描述方法进行详细比较。实例结果表明，所提出的方法具有更强的特征描述能力。
도상국부특정묘술일직시도상배준여도상검색중겁위중요적일부분。본문심입연구Gaussian-Hermite구급기선전불변구적성질，근거척도인자불영향기선전불변성적특점，제출기우다척도Gaussian-Hermite구적도상국부특정묘술방법，병통과실례여현유적특정묘술방법진행상세비교。실례결과표명，소제출적방법구유경강적특정묘술능력。
The description of image local features has been the most important part in image registration and image retrieval. In this paper, Gaussian-Hermite moments are studied and their invariants are derived. Due to that the scale parameter does not affect their rotation invariants, a descriptor based on multi-scale Gaussian-Hermite moments is proposed. Finally, the proposed descriptor is tested in a serial experiments with the state-of-the-art methods, and the experimental results show that the proposed descriptor performs much better than the others.