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一种优化的Canny边缘检测算法

Optimized Canny edge detection algorithm

  • 摘要: 在对Canny边缘检测理论研究基础上,针对Canny边缘检测算法在高斯滤波、梯度计算和高低阈值的确定上的缺陷,提出一种改进的小波变换法,替代高斯滤波,实现对图像的降噪,同时,优化了原有梯度幅值和方向的计算方法,采用改进的迭代算法对高低阈值进行计算。运用MATLAB仿真实验对比优化后的Canny边缘检测算法与传统Canny边缘检测算法。结果表明,优化后的Canny边缘检测算法可使检测结果拥有更多的边缘细节,提高了检测的精度和准确度。

     

    Abstract: Based on the research of Canny operator edge detection theory, aiming at the shortcomings of the Canny edge detection algorithm in Gaussian filtering, gradient calculation and determination of high and low thresholds, this paper proposed an improved wavelet transform, replaced Gaussian filtering to reduce the noise of the picture, and optimized the original gradient amplitude and direction, an improved iterative algorithm was used to calculate the high and low thresholds. MATLAB simulation experiment was used to compare the edge detection algorithm of optimized Canny and traditional Canny. The results showed that the optimized Canny edge detection algorithm can make the detection results have more edge details and improve the detection precision and accuracy.

     

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