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基于偏振成像的玻璃表面缺陷检测

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针对生物载玻片表面划痕缺陷检测的问题,提出了一种采用偏振成像的检测方法。构建基于偏振相机的成像光学系统,获取玻璃表面图像,采用中值滤波和图像增强进行图像去噪和增强,采用合适图像分割算法对其中缺陷特征进行分割处理,识别缺陷。实验研究了不同偏振角度对缺陷检测效果的影响,并与非偏振光成像检测进行了对比分析。结果表明,与传统非偏振成像相比,采用偏振光成像检测,有效地避免了局部过曝光现象,获得低对比度划痕缺陷特征,识别同背景下传统成像无法检测的表面划痕,提高检测效率和准确度。该方法也可推广到玻璃表面划痕缺陷的视觉检测中。
Glass Surface Defect Detection Based on Polarization Imaging
Aiming at the problem of scratch defect detection on the surface of biological glass slide,a detection method using polarization imaging is proposed.The imaging optical system based on polarization camera is constructed to obtain the glass surface image.The median filter and image enhancement are used for image denoising and enhancement.The appropriate image segmenta-tion algorithm is used to segment the defect features and identify defects.The effect of different polarization angles on defect detec-tion is studied experimentally and compared with the non-polarized light imaging detection.The results show that,compared with the traditional non polarized imaging,the polarized imaging detection can effectively avoid local overexposure,obtain low contrast scratch defect features,identify surface scratches that cannot be detected by traditional imaging in the same background,and im-prove the detection efficiency and accuracy.This method can also be extended to visual inspection of scratch defects on glass sur-face.

machine visionpolarization imagingdefect detectionimage processing

郑钰钰、王艳红、武京治

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中北大学仪器与电子学院 太原 030051

机器视觉 偏振成像 缺陷检测 图像处理

2024

舰船电子工程
中国船舶重工集团公司第709研究所 中国造船工程学会 电子技术学术委员会

舰船电子工程

CSTPCD
影响因子:0.243
ISSN:1627-9730
年,卷(期):2024.44(1)
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