基于改进的Canny算子与自适应阈值的边缘检测算法  

Improvement of Edge Detection Algorithm Based on Canny Operators And Adaptive

作　　者：丁一[1] DING Yi(Wuxi City College of Vocational Technology,Wuxi Jiangsu 214000,China)

机构地区：[1]无锡城市职业技术学院,江苏无锡214000

出　　处：《信息与电脑》2023年第3期176-178,共3页Information & Computer

摘　　要：传统的基于Canny算子的边缘检测算法存在不足,因此提出了一种基于自适应阈值的改进方法。由于传统的Canny算子方法中的高低阈值需要人工设定,会对边缘检测中的结果产生影响,利用自适应阈值的方法改进传统Canny算子中阈值的参数的设定。得到理论上适合的参数后,根据算法对结果进行处理。实验结果表明,改进后的算法比传统算法表现更加出色,而且有效排除了图像中噪点的影响,提高了边缘检测算法的鲁棒性。The traditional edge detection algorithm based on Canny operator is deficient,and an improved method based on adaptive thresholding is proposed.Since the high and low thresholds in the method used in the traditional Canny operator are set manually,thus having an impact on the results in edge detection,the adaptive thresholding method is used to improve the setting of the parameters of the thresholds in the traditional Canny operator.After obtaining the theoretically suitable parameters,the results are processed according to the algorithm.The experimental results show that the improved algorithm is better than the traditional algorithm,and the influence of noise in the image is effectively excluded,which improves the robustness of the edge detection algorithm.

关 键 词：边缘检测 CANNY算子 自适应阈值 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]