| 引用本文: | 缪红超,窦易文,张丽平,龚佳乐,高依婷.基于改进 Canny 算法的焊缝图像边缘检测(J/M/D/N,J:杂志，M：书，D：论文，N：报纸).期刊名称,2024，41（5）：58-64 |
| CHEN X. Adap tive slidingmode contr ol for discrete2ti me multi2inputmulti2 out put systems[ J ]. Aut omatica, 2006, 42(6): 4272-435 |
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| 摘要: |
| 目的 针对复杂环境下焊缝图像的边缘检测问题,基于传统的 Canny 算法,将中值滤波替换高斯滤波,并将非
极大值抑制( NMS) 进行改进,得到一种面向复杂环境的改进 Canny 算法的焊缝图像边缘检测方法。 方法 对焊缝图
像进行中值滤波,保留图像的边缘信息,平滑区域内的细节,接着利用梯度方向局部均值偏差进行改进的非极大值
抑制,综合考虑梯度幅值的大小和梯度方向对焊缝边缘检测的影响,最后使用双阈值法检测和连接边缘,根据焊缝
图像的特点选择相应的阈值,既可以保证边缘检测的结果的准确性,也可以有效地避免一些噪声干扰。 结果 与传
统的 Canny 算法和其他一些滤波器改进的 Canny 算法等进行对比分析,所提出的方法的边缘保持度和边缘线性连
接程度效果是最好的,边缘保持可以使检测结果保留原始焊缝图像的 60%左右,同时边缘的连接程度相较于传统
的 Canny 算法均有所提升,并且对焊缝图像中伪边缘的抑制效果也有所改善。 结论 所提出的改进的 Canny 算法通
过对滤波、NMS 算法的综合优化,可以有效地检测出焊缝图像中的边缘信息,且有良好的焊缝图像边缘检测效果。
关键词:边缘检测;中值滤波;非极大值抑制;双阈值法 |
| 关键词: 边缘检测 中值滤波 非极大值抑制 双阈值法 |
| DOI： |
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| Edge Detection of Weld Seam Images Based on Improved Canny Algorithm |
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MIAO Hongchao, DOU Yiwen, ZHANG Liping, GONG Jiale, GAO Yiting
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1. School of Computer and Information Anhui University of Engineering Anhui Wuhu 241000 China
2. Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment Ministry of Education Anhui
University of Engineering Anhui Wuhu 241000 China
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| Abstract: |
| Objective In response to the edge detection of weld seam images in complex environments an improved Canny
algorithm for edge detection of weld seam images in complex environments was proposed based on the traditional Canny
algorithm replacing Gaussian filtering with median filtering and improving the non-maximum suppression NMS .
Methods The weld seam image was subjected to median filtering to preserve edge information and smooth details within
the area followed by improved NMS using the local mean deviation of the gradient directions. The influence of gradient
amplitude and gradient direction on weld seam edge detection was considered. Finally the dual-threshold method was
used to detect and connect edges. The appropriate threshold was selected based on the characteristics of the weld seam
image to ensure the accuracy of edge detection results while effectively avoiding some noise interference.
Results Compared with the traditional Canny algorithm and other Canny algorithms with improved filters the proposed method achieves the best edge retention and edge linearity. Edge retention can preserve approximately 60% of the original
weld seam image and the degree of edge connection is improved compared with the traditional Canny algorithm with
enhanced suppression of pseudo edges in the weld seam images. Conclusion The improved Canny algorithm through
comprehensive optimization of filtering and NMS algorithms can effectively detect edge information in weld seam images
and achieve good edge detection results for weld seam images. |
| Key words: edge detection median filtering non-maximum suppression dual-threshold method |
