局部自适应阈值法改进Canny算子的图像边缘提取  

Local Adaptive Threshold Method Improves Image Edge Extraction by Canny Operato

作　　者：杨翊麟 YANG Yiin(Sino-European School of Technology,Shanghai University,Shanghai 200444,China)

机构地区：[1]上海大学中欧工程技术学院,上海200444

出　　处：《信息与电脑》2023年第14期78-80,共3页Information & Computer

摘　　要：传统Canny算子在选择高斯滤波参数和阈值时可能存在困难,从而导致算法适应性差、图像边缘丢失和产生伪边缘等问题。为了提高边缘检测效果,文章提出使用局部自适应阈值的改进方法。实验结果表明,这种改进方案能够有效减少图像噪声,并提高图像处理的性能。The traditional Canny operator may have difficulties in selecting Gaussian filtering parameters and thresholds,resulting in poor algorithm adaptability,image edge loss,and the generation of false edges.In order to improve the edge detection effect,the article proposes an improved method using local adaptive thresholds.The experimental results show that this improved scheme can effectively reduce image noise and improve the performance of image processing.

关 键 词：自适应阈值法 边缘检测 CANNY算子 图像处理方法 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]