Sensors 2014, 14(2), 2476-2488; doi:10.3390/s140202476
Article

Algorithm for the Evaluation of Imperfections in Auto Bodywork Using Profiles from a Retroreflective Image

1 System Engineering and Automation Department, Carlos III University, Madrid 28911, Spain 2 Peugeot Citro├źn Automobiles SA, PSA, Velizy 78943, France
* Author to whom correspondence should be addressed.
Received: 14 November 2013; in revised form: 22 January 2014 / Accepted: 23 January 2014 / Published: 5 February 2014
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Abstract: Nowadays the automobile industry is becoming more and more demanding as far as quality is concerned. Within the wide variety of processes in which this quality must be ensured, those regarding the squeezing of the auto bodywork are especially important due to the fact that the quality of the resulting product is tested manually by experts, leading to inaccuracies of all types. In this paper, an algorithm is proposed for the automated evaluation of the imperfections in the sheets of the bodywork after the squeezing process. The algorithm processes the profile signals from a retroreflective image and characterizes an imperfection. It is based on a convergence criterion that follows the line of the maximum gradient of the imperfection and gives its geometrical characteristics as a result: maximum gradient, length, width, and area.
Keywords: imaging systems; diffraction; digital image processing; sensor application; image algorithm

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MDPI and ACS Style

Barber, R.; Zwilling, V.; Salichs, M.A. Algorithm for the Evaluation of Imperfections in Auto Bodywork Using Profiles from a Retroreflective Image. Sensors 2014, 14, 2476-2488.

AMA Style

Barber R, Zwilling V, Salichs MA. Algorithm for the Evaluation of Imperfections in Auto Bodywork Using Profiles from a Retroreflective Image. Sensors. 2014; 14(2):2476-2488.

Chicago/Turabian Style

Barber, Ramon; Zwilling, Valerie; Salichs, Miguel A. 2014. "Algorithm for the Evaluation of Imperfections in Auto Bodywork Using Profiles from a Retroreflective Image." Sensors 14, no. 2: 2476-2488.

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