基于改进Canny算法的受电弓碳滑板边缘检测方法

杨君; 郭佑民; 王建鑫; 赵鸿亮

doi:10.13890/j.issn.1000-128X.2023.04.013

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基于改进Canny算法的受电弓碳滑板边缘检测方法

铁道电气化 | 更新时间：2024-08-02

- 基于改进Canny算法的受电弓碳滑板边缘检测方法
- An edge detection method of pantograph carbon slide based on an improved Canny algorithm
- 机车电传动 2023年第4期页码：90-97
- 作者机构：
  
  兰州交通大学机电技术研究所，甘肃兰州 730000
- 作者简介：
  
  郭佑民（1968—），男，教授，硕士生导师，主要从事载运工具运用、车辆工程方面的研究；E-mail: 342995841@qq.com
- 基金信息：
  
  国家自然科学基金资助项目(72061021)
- DOI：10.13890/j.issn.1000-128X.2023.04.013
  中图分类号： TP391.7;U264.3⁺4
- 纸质出版日期：2023-07-10，
  
  收稿日期：2023-05-21，
  
  修回日期：2023-06-29，
- 稿件说明：
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杨君, 郭佑民, 王建鑫, 等. 基于改进Canny算法的受电弓碳滑板边缘检测方法[J]. 机车电传动, 2023(4): 90-97.

YANG Jun, GUO Youmin, WANG Jianxin, et al. An edge detection method of pantograph carbon slide based on an improved Canny algorithm[J]. Electric drive for locomotives,2023(4): 90-97.
杨君, 郭佑民, 王建鑫, 等. 基于改进Canny算法的受电弓碳滑板边缘检测方法[J]. 机车电传动, 2023(4): 90-97. DOI： 10.13890/j.issn.1000-128X.2023.04.013.

YANG Jun, GUO Youmin, WANG Jianxin, et al. An edge detection method of pantograph carbon slide based on an improved Canny algorithm[J]. Electric drive for locomotives,2023(4): 90-97. DOI： 10.13890/j.issn.1000-128X.2023.04.013.

摘要

针对传统边缘检测算法对碳滑板边缘进行检测时存在提取不准确、不连续和易受噪声影响等问题，文章提出一种基于改进Canny算法的受电弓碳滑板边缘检测方法。首先，使用各项异性扩散和双边滤波相结合的级联滤波器代替原算法中的高斯滤波器对图像进行去噪，提高算法对多种混合噪声的平滑能力，并采用伽马变换突出图像的边缘特征；采用Scharr算子确定边缘梯度幅值；引入Otsu算法改进原算法中高低阈值需人为设定的不足，使算法在确定双阈值时拥有更好的自适应性；最后利用形态学思想和Zhang-Suen细化算法对边缘轮廓进一步完善，消除边缘中可能出现的细微空洞。试验结果表明，改进后的算法相较于传统算法能更准确地提取碳滑板的边缘信息，并且具备较强的自适应性与抗干扰性，为受电弓碳滑板的后续检测提供了有效的理论支持。

Abstract

Aiming at the problems of inaccurate extraction

discontinuity and being susceptible to noise when the edge of a carbon slide is detected by using a traditional edge detection algorithm

an edge detection method of pantograph carbon slide based on an improved Canny algorithm was proposed in the paper. Firstly

the cascade filter with a combination of anisotropic diffusion and bilateral filter was used instead of the Gaussian filter in the original algorithm to denoise the image and improved the algorithm's ability to smooth various mixed noises. Gamma transformation was used to highlight the edge features of the image. Scharr operator was used to determine the gradient magnitude of the edges. Otsu algorithm was introduced to overcome the drawback of manually setting the high and low thresholds in the original algorithm

making the algorithm have better adaptability in determining the dual thresholds. Finally

the edge contour was further improved with morphological ideas and the Zhang-Suen refinement algorithm to eliminate possible subtle voids in the edges. The experimental results show that the improved algorithm can extract the edge information of the carbon slide more accurately than the traditional algorithm

and has strong adaptability and anti-interference

which provides effective theoretical support for the subsequent detection of the pantograph carbon slides.

关键词

受电弓碳滑板Canny算法级联滤波器Scharr算子Otsu算法Zhang-Suen细化

Keywords

pantograph carbon slideCanny algorithmcascaded filterScharr operatorOtsu algorithmZhang-Suen refinement

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