| 基于机器视觉的汽车角窗玻璃混线检测算法 |
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| 引用本文： | 李建兴、林华良、俞斌、陈炜、林晨煌、黄诗婷.基于机器视觉的汽车角窗玻璃混线检测算法[J].福建工程学院学报,2021,0(3):223-229. |
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| 作者姓名： | 李建兴、林华良、俞斌、陈炜、林晨煌、黄诗婷 |
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| 作者单位： | 福建工程学院电子电气与物理学院 |
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| 摘 要： | 针对汽车玻璃角窗生产线上轮廓、材质与厚度相近似的汽车玻璃容易产生混淆的问题，提出融合轮廓特征与颜色特征的汽车玻璃混线检测算法。通过改进的几何矩匹配算法实现汽车玻璃的轮廓检测；利用色彩特征实现汽车玻璃的材质与厚度的检测，结合轮廓特征与色彩特征实现了汽车玻璃的混线检测。实验证明，提出的混线检测算法有效提高了汽车玻璃混线检测的准确率，有利于提升汽车玻璃检测的自动化水平。
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| 关 键 词： | 机器视觉 角窗玻璃 混线检测 轮廓特征 色彩特征 |
Machine vision-based non-congeneric product detection algorithm for vehicle quarter glass |
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| LI Jianxing,LIN Hualiang,YU Bin,CHEN Wei,LIN Chenhuang,HUANG Shiting.Machine vision-based non-congeneric product detection algorithm for vehicle quarter glass[J].Journal of Fujian University of Technology,2021,0(3):223-229. |
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| Authors: | LI Jianxing LIN Hualiang YU Bin CHEN Wei LIN Chenhuang HUANG Shiting |
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| Affiliation: | School of Electronic, Electrical Engineering and Physics, Fujian University of Technology |
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| Abstract: | In view of the fact that confusion is easy to occur on the vehicle quarter glass production line due to similarities in their contours, thicknesses and materials, a non-congeneric product detection (NCPD) algorithm was proposed for vehicle quarter glass, which combines contour features and color characteristics. The contour detection of automotive glass was realized by the improved geometric moment matching algorithm. Detection of its material and thickness was realized by using color characteristics. A combination of the contour features and color characteristics can help realize the non-congeneric detection of vehicle glass. Experimental data show that the detection algorithm combining contour features and color characteristics greatly improves the accuracy of vehicle glass NCPD, and improves the automation degree of vehicle glass detection. |
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| Keywords: | machine vision quarter glass NCPD contour features color features |
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