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.
Highlights
The performance of the proposed distortion calculation method based on image processing (DCMIP) to calculate the distortion of the mirrors is presented
The maximum distortion factor of M1, M3, M4, and M5 does not exceed the distortion factor threshold (DFT) equal to 1; that is, the distortion of the mirrors are less than 5%, as required by the JIS-D-5705 standard
The experimental results of the proposed DCMIP were compared with the JIS-D-5705 standard, which establishes that the maximum allowed side lateral-view mirror distortion is 5%, while the maximum allowed distortion factor of the DCMIP is equal to 1, which is equivalent to a distortion of
Summary
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. To measure the mirror quality, an expert person performs a manual inspection , commonly by one of these two methods: concentric circle patterns or radial line patterns [4,5] For these two methods, an image with a concentric or radial pattern is captured by a digital camera; this captured pattern is compared against the original one to calculate a distortion factor. Considering the mentioned disadvantages of the manual inspection of automobile lateral-view mirrors and promoting automation under a reliable, robust and precise method, this work proposes a distortion calculation method based on image processing (DCMIP), which is both scale and rotation invariant, as well as being robust to changes in the image resolution.
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