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A sub-pixel edge detection approach based on orthogonal moment

机译:基于正交矩的亚像素边缘检测方法

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摘要

Edge detection with sub pixel accuracy is a vital step of vision measurement technology. In this paper, a novel sub-pixel edge detecting algorithm based on orthogonal moment is proposed. The proposed approach locates the edge points with different method for different edges. For the ideal edges, it uses the orthogonal moment based method, and for the blurred edges, the centroid based method is used. Experimental results demonstrate that the proposed method prevails in robustness and high precision compared with traditional method.
机译:具有亚像素精度的边缘检测是视觉测量技术的重要一步。提出了一种基于正交矩的新型亚像素边缘检测算法。所提出的方法通过针对不同边缘的不同方法来定位边缘点。对于理想边缘,它使用基于正交矩的方法,而对于模糊边缘,则使用基于质心的方法。实验结果表明,与传统方法相比,该方法具有较强的鲁棒性和较高的精度。

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