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Research of improved subpixel edge detection algorithm using Zernike moments

机译：基于Zernike矩的改进的亚像素边缘检测算法的研究

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The principle of sub-pixel edge detection based on Zernike moments were introduced in this paper. With the consideration of the limitation of the sub-pixel edge detection algorithm by Ghosal, this paper combine original algorithm with Otsu threshold algorithm and an improved algorithm for edge detection is proposed. First of all, a mask of size seven by seven was calculated and Zernike moment was calculated. Secondly, the distance threshold and edge threshold were calculated by using the formula, and the best intensity of step was calculated by using Otsu method. Finally, a series of experiments were designed and implemented. The experiment results showed that the improved algorithm can effectively detect the image edge and the subpixel location is more accurate. It reduces the existence of false edge and enhances the practicality of the algorithm.
机译：介绍了基于Zernike矩的亚像素边缘检测原理。考虑到Ghosal对子像素边缘检测算法的局限性，将原始算法与Otsu阈值算法相结合，提出了一种改进的边缘检测算法。首先，计算出尺寸为7 x 7的蒙版，并计算了Zernike矩。其次，使用公式计算距离阈值和边缘阈值，并使用大津法计算最佳台阶强度。最后，设计并实施了一系列实验。实验结果表明，改进后的算法可以有效地检测出图像边缘，并且亚像素定位更加准确。减少了虚假边缘的存在，提高了算法的实用性。

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