陈静, 尚雅层, 田军委. 快速多项式拟合亚像素边缘检测算法的研究[J]. 应用光学, 2011, 32(1): 91-95.
引用本文: 陈静, 尚雅层, 田军委. 快速多项式拟合亚像素边缘检测算法的研究[J]. 应用光学, 2011, 32(1): 91-95.
CHEN Jing, SHANG Ya-ceng, TIAN Jun-wei. AFast polynomial fits sub-pixel edge detection algorithms[J]. Journal of Applied Optics, 2011, 32(1): 91-95.
Citation: CHEN Jing, SHANG Ya-ceng, TIAN Jun-wei. AFast polynomial fits sub-pixel edge detection algorithms[J]. Journal of Applied Optics, 2011, 32(1): 91-95.

快速多项式拟合亚像素边缘检测算法的研究

AFast polynomial fits sub-pixel edge detection algorithms

  • 摘要: 传统的亚像素边缘检测都是先粗定位,再进行亚像素细分,因而运行时间较长。采用了一种基于多项式拟合的快速亚像素边缘检测算法。该算法根据图像的灰度分布,运用三次多项式拟合图像的边缘实现亚像素定位,从而达到较高的定位精度。采用在边缘附近取点,进行亚像素边缘检测,减少了运行时间。仿真实验给出的实验结果证明了该算法的有效性。

     

    Abstract: Since traditional edge detection algorithms have the disadvantages of low precision and efficiency in measuring the edge, a sub-pixel edge detection algorithm based on the polynomial fittings is proposed. According to the grey level distribution of the picture, this algorithm uses cubic polynomial to fit the edges to realize sub-pixel localization. Traditional sub-pixel edge detection algorithms detect coarse position at first, and then carry out the sub-divide, therefore the running time is relatively long. This method first fetches some points near the edge, and then carries out the sub-pixel edge detection algorithm, so the running time is reduced. Finally, the experimental results show that the proposed algorithm is very reliable and efficient.

     

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