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基于图像处理的汽车后视镜畸变计算方法

Distortion Calculation Method Based on Image Processing for Automobile Lateral Mirrors.

作者信息

Paredes-Orta Carlos, Valentin-Coronado Luis M, Díaz-Ponce Arturo, Rodríguez-Reséndiz Juvenal, Mendiola-Santibañez Jorge Domingo

机构信息

CONACYT-Centro de Investigaciones en Optica, Unidad Aguascalientes, Prol. Constitución 607, Reserva Loma Bonita, Aguascalientes 20200, Mexico.

Facultad de Ingeniería, Universidad Autónoma de Querétaro, Santiago de Querétaro 76010, Mexico.

出版信息

Micromachines (Basel). 2022 Feb 28;13(3):401. doi: 10.3390/mi13030401.

DOI:10.3390/mi13030401
PMID:35334694
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8954527/
Abstract

The automobile lateral-view mirrors are the most important visual support for driver safety; therefore, it is important they have robust quality control. Typically, the distortion of a lateral-view mirror is measured using the JIS-D-5705 standard; however, this methodology requires an expert person to perform the measurements and calculations manually, which can induce measurement errors. In this work, a semi-automatic distortion calculation method based on image processing is presented. Distortion calculations of five commercial mirrors from different manufacturers were performed, and a comparative study was carried out between the JIS-D-5705 standard and the proposed method. Experimental results performed according to the JIS-D-5705 standard showed that all mirrors have a distortion lower than 5%, indicating that all meet the standard. On the other hand, the proposed method was able to detect that one of the mirrors presented an important distortion, which was not detected by the methodology proposed in the standard; therefore, that mirror should not meet the standard. Then, it was possible to conclude that the proposed distortion calculation method, based on image processing, has higher robustness and precision than the standard. In addition, an appropriate and effective behavior against changes in scale, resolution, and, unlike the standard, against changes in image rotation was also shown.

摘要

汽车外后视镜是保障驾驶员安全的最重要视觉辅助部件；因此，对其进行严格的质量控制至关重要。通常，外后视镜的畸变采用JIS-D-5705标准进行测量；然而，这种方法需要专业人员手动进行测量和计算，这可能会导致测量误差。在这项工作中，提出了一种基于图像处理的半自动畸变计算方法。对来自不同制造商的五个商用后视镜进行了畸变计算，并对JIS-D-5705标准与所提出的方法进行了对比研究。根据JIS-D-5705标准进行的实验结果表明，所有后视镜的畸变均低于5%，表明全部符合标准。另一方面，所提出的方法能够检测出其中一个后视镜存在严重畸变，而标准中所提出的方法并未检测到；因此，该后视镜不应符合标准。由此可以得出结论，所提出的基于图像处理的畸变计算方法比该标准具有更高的稳健性和精度。此外，该方法还展示了针对尺度、分辨率变化的适当且有效的应对措施，并且与标准不同的是，它还能应对图像旋转的变化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f7c/8954527/c6d257ce0e23/micromachines-13-00401-g016.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f7c/8954527/db6b2a8ec574/micromachines-13-00401-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f7c/8954527/0bbd9ba36552/micromachines-13-00401-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f7c/8954527/b3fe4330e4e0/micromachines-13-00401-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f7c/8954527/be810ae6e65b/micromachines-13-00401-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f7c/8954527/3ade00816ce9/micromachines-13-00401-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f7c/8954527/68bff3829273/micromachines-13-00401-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f7c/8954527/92ccd893211e/micromachines-13-00401-g014.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f7c/8954527/c6d257ce0e23/micromachines-13-00401-g016.jpg

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