基于Canny算子的图像边缘检测方法改进研究

Improvement of Image Edge Detection Method Based on CannyOperator

针对传统Canny算子在平滑图像、梯度计算和阈值选取方面存在缺陷,论文提出了一种改进方案。该方法使用带权中值滤波代替高斯滤波,使用3×3邻域四方向偏导数代替2×2邻域二方向来求取梯度幅值和方向,使用梯度直方图确定高、低阈值代替人为随意设定。仿真实验结果表明,改进的Canny算子提高了检测精度,连续性更好。

In view of the defects of the traditional Canny operator in smoothing image, gradient calculation and threshold selection, an improved scheme is proposed in this paper. The method uses a weighted median filtering instead of the Gaussian filter, 3×3 neighborhood four direction partial derivative is used to replace the 2×2 neighborhood two direction to obtain the gradient magnitude and direction, and uses Gradient histogram to determine high and low threshold instead of man-made arbitrarily set. The simulation experimental results show that the improved Canny operator to improve the detection accuracy and have better continuity.