Adaptive Bidirectional Gray-Scale Center of Gravity Extraction Algorithm of Laser Stripes

Aiming at the realization of fast and high-precision detection of the workpiece, an adaptive bidirectional gray-scale center of gravity extraction algorithm for laser stripes is proposed in this paper. The algorithm is processed in the following steps. Firstly, the initial image processing area is s...

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Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Switzerland), 2022-12, Vol.22 (24), p.9567
Main Authors:	Zhang, Miaomiao, Li, Zhengnan, Zhang, Fuquan, Ma, Lidong
Format:	Article
Language:	eng
Subjects:	Accuracy adaptive image processing area Algorithms Cameras Center of gravity central extraction Deep learning Equipment and supplies Gray scale Image processing Industrial production Lasers Light line-structured light Methods Neural networks Principal components analysis upper profile weight optimization Workpieces
Online Access:	Get full text
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Summary:	Aiming at the realization of fast and high-precision detection of the workpiece, an adaptive bidirectional gray-scale center of gravity extraction algorithm for laser stripes is proposed in this paper. The algorithm is processed in the following steps. Firstly, the initial image processing area is set according to the floating field of the camera's light stripe, followed by setting the adaptive image processing area according to the actual position of the light stripe. Secondly, the center of light stripe is obtained by using the method of combining the upper contour with the barycenter of the bidirectional gray-scale. The obtained center of the light stripe is optimized by reducing the deviation from adjacent center points. Finally, the slope and intercept are used to complete the breakpoint. The experimental results show that the algorithm has the advantages of high speed and precision and has specific adaptability to the laser stripes of the complex environment. Compared with other conventional algorithms, it greatly improves and can be used in industrial detection.
ISSN:	1424-8220 1424-8220