通信与信息技术Issue(3)：122-124,3.
自适应阈值LOG与Canny算法结合的图像边缘检测研究
Research on image edge detection combining adaptive threshold LOG and canny algorithm
摘要
Abstract
Image edge detection is a crucial task in the field of computer vision and image processing,which is significant for appli-cations such as image segmentation,feature extraction,and target recognition.Traditional algorithms like Canny and LOG have their re-spective advantages in image edge detection,but they also have limitations.The Canny algorithm is unable to detect edges with small gra-dients,while the LOG algorithm is sensitive to noise and requires manual threshold setting.To avoid the disadvantages of both algorithms and overcome the limitation of manual threshold setting in the LOG algorithm,this paper proposes an image edge detection method that combines adaptive threshold LOG with the Canny algorithm.It elaborates on the design of the adaptive threshold LOG algorithm,the strat-egy for combining the Canny algorithm with the adaptive threshold LOG algorithm,and experimental verification.Firstly,this study de-signs an adaptive threshold LOG algorithm that aims to automatically adjust the threshold to adapt to different image characteristics,thus reducing sensitivity to noise.Secondly,this study proposes a combination strategy that integrates the Canny algorithm with the adaptive threshold LOG algorithm,aiming to leverage the strengths of both to detect subtle edge details while suppressing noise interference to a certain extent.The results show that the adaptive threshold mechanism retains the advantages of both the Canny and LOG algorithms,greatly improving the automation level and detection effect of the algorithm,and further enhancing the accuracy and robustness of real-time edge detection.关键词
边缘检测/Canny算法/LOG算法/图像融合/自适应阈值Key words
Edge detection/Canny algorithm/LOG algorithm/Image fusion/Adaptive threshold分类
信息技术与安全科学引用本文复制引用
金义舒,黄平,郑福印,潘睿,张嘉栋,史文哲,陈皓林,李岳..自适应阈值LOG与Canny算法结合的图像边缘检测研究[J].通信与信息技术,2025,(3):122-124,3.基金项目
辽宁省教育厅高等学校基本科研项目(面上项目)(项目编号:LJKMZ20220477) （面上项目）
