基于拓扑滤波与改进Canny算子的锂离子电池电极缺陷检测

doi:10.19799/j.cnki.2095-4239.2022.0167

储能科学与技术 ›› 2022, Vol. 11 ›› Issue (10): 3297-3305.doi: 10.19799/j.cnki.2095-4239.2022.0167

基于拓扑滤波与改进Canny算子的锂离子电池电极缺陷检测

孙浩然¹^,²(), 李雅雯¹^,², 韩有军¹^,², 胡跃明¹^,²

^1.华南理工大学自动化科学与工程学院
^2.精密电子制造装备教育部工程研究中心/广东省高端芯片智能封测装备工程实验室，广东广州 510640

收稿日期:2022-03-29 修回日期:2022-04-08 出版日期:2022-10-05 发布日期:2022-10-10
通讯作者: 孙浩然 E-mail:1124473655@qq.com
作者简介:孙浩然（1998—），女，硕士研究生，主要研究方向为图像处理与机器视觉，E-mail：1124473655@qq.com。
基金资助:
国家自然科学基金资助项目(61573146);国家重大科技专项02专项资助项目(2014ZX02503)

Lithium-Ion battery electrode defect detection based on topological filtering and improved canny operator

Haoran SUN¹^,²(), Yawen LI¹^,², Youjun HAN¹^,², Yueming HU¹^,²

^1.College of Automation Science and Engineering South China University of Technology
^2.Engineering Research Center for Precision Electronic Manufacturing Equipment, Ministry of Education & Guangdong Provincial Engineering Laboratory for Advanced Chip Intelligent Packaging Equipment, Guangzhou 510640, Guangdong China

Received:2022-03-29 Revised:2022-04-08 Online:2022-10-05 Published:2022-10-10
Contact: Haoran SUN E-mail:1124473655@qq.com

摘要/Abstract

摘要：

电极作为锂离子电池的重要组成部分，其质量直接关系到电池的电化学性能、安全性能及使用寿命。锂离子电池电极的生产环境复杂且缺陷形态多变，针对电极图像拍摄过程中易出现的亮度不均以及缺陷对比度低等问题，提出一种基于拓扑滤波与改进Canny算子的电极缺陷检测算法。首先采用基于拓扑学原理的滤波模板抑制图像背景噪声，针对图像整体灰度值过高的问题，应用灰度变换矫正图像灰度分布，增强图像对比度；其次考虑到背景细小纹理较多且边缘信息较弱，提出一种改进Canny算子，采用双边滤波降低图像噪声的同时有效避免边缘模糊，多尺度增强算法改善光照不均增强图像细节；应用四方向的Sobel算子计算梯度幅值和方向以获取更多的边缘信息，提升边缘定位的精确度；基于最大熵算法自适应确定高低阈值，避免边缘点判定的局限性，提高边缘连接的效果。实验研究结果证明相对于其他算法，该算法可以较好地保护边缘细节，精确完整地提取出缺陷轮廓，表现出更优越的准确率和抗噪性，具有一定的实用价值。

关键词: 外观视觉检测, 锂离子电池, 拓扑滤波, 改进Canny算子

Abstract:

The quality of the electrode, as an important component of a lithium battery, is directly related to the electrochemical performance, safety, and service life of the battery. An electrode defect detection algorithm using topology filtering and an improved Canny operator is proposed to address the problems of uneven brightness of electrode images and low defect contrast. First, the filtering template using the topology principle is used to suppress the background noise of the image. To address the problem that the overall gray value of the image is too high, grayscale transformation is applied to correct the grayscale distribution of the image and enhance the image contrast. Second, an improved Canny operator is proposed, which uses bilateral filtering to prevent edge blurring and a multi-scale enhancement algorithm to improve uneven illumination and enhance image details. This is because the background has numerous fine textures and weak edge information. The four-directional Sobel operator is used to calculate the gradient magnitude and direction, which improves edge localization. The high and low thresholds are adaptively determined using the maximum entropy algorithm, avoiding the limitation of edge point determination and improving the effect of edge connection. The experimental research shows that, when compared with other algorithms, this algorithm can properly protect the edge details, accurately and completely extract defect contours (accurate and anti-noise), and has certain practical value.

Key words: appearance visual inspection, lithium-ion battery, topology filtering, improved canny operator

中图分类号:

TP 391.41

孙浩然, 李雅雯, 韩有军, 胡跃明. 基于拓扑滤波与改进Canny算子的锂离子电池电极缺陷检测[J]. 储能科学与技术, 2022, 11(10): 3297-3305.

Haoran SUN, Yawen LI, Youjun HAN, Yueming HU. Lithium-Ion battery electrode defect detection based on topological filtering and improved canny operator[J]. Energy Storage Science and Technology, 2022, 11(10): 3297-3305.

图/表 10

图1

图2

图3

图4

图5

图6

表1

PSNR评价滤波算法"

峰值信噪比	均值滤波	高斯滤波	中值滤波	双边滤波
$P S N R a v e$	22.41119	24.33789	22.15549	25.96187
$P S N R v$	0.03968	0.016902	0.015538	0.020046

表1

图7

表2

图8

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基于拓扑滤波与改进Canny算子的锂离子电池电极缺陷检测

Lithium-Ion battery electrode defect detection based on topological filtering and improved canny operator

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