A performance evaluation test for laser line scanners on CMMs

Gestel, Nick Van; Cuypers, Steven; Bleys, Philip; Kruth, Jean‐Pierre

doi:10.1016/j.optlaseng.2008.06.001

Cited by 140 publications

(97 citation statements)

References 7 publications

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“…This extension can be calculated as 20 times the logarithm of ratio of longest Exp Hi to shortest exposure time Exp Lo . See (5). The shortest exposure time is generally the exposure time that gives lowest possible number of statured pixels:…”

Section: High Dynamic Range Extension (Hdre)mentioning

confidence: 99%

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High Precision Laser Scanning of Metallic Surfaces

Amir

Thörnberg

2017

International Journal of Optics

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Speckle noise, dynamic range of light intensity, and spurious reflections are major challenges when laser scanners are used for 3D surface acquisition. In this work, a series of image processing operations, that is, Spatial Compound Imaging, High Dynamic Range Extension, Gray Level Transformation, and Most Similar Nearest Neighbor are proposed to overcome the challenges coming from the target surface. A prototype scanner for metallic surfaces is designed to explore combinations of these image processing operations. The main goal is to find the combination of operations that will lead to the highest possible robustness and measurement precision at the lowest possible computational load. Inspection of metallic tools where the surface of its edge must be measured at micrometer precision is our test case. Precision of heights measured without using the proposed image processing is firstly analyzed to be ±7.6 m at 68% confidence level. The best achieved height precision was ±4.2 m. This improvement comes at 24 times longer processing time and five times longer scanning time. Dynamic range extension of the image capture improves robustness since the numbers of saturated or underexposed pixels are substantially reduced. Using a high dynamic range (HDR) camera offers a compromise between processing time, robustness, and precision.

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Section: High Dynamic Range Extension (Hdre)mentioning

confidence: 99%

“…Three-dimensional scanning systems have enabled measurements of tool surfaces for monitoring of their condition [1,4]. 3D laser scanners exploiting optical triangulation technique are now dominating the market due to their noncontact nature, better accuracy, better precision, and higher scanning rate [5].…”

Section: Introductionmentioning

confidence: 99%

High Precision Laser Scanning of Metallic Surfaces

Amir

Thörnberg

2017

International Journal of Optics

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“…al. (2008) propose a test method for line scanners on CMMs that uses a planar test artifact 13 . For the authors, the standard deviation of the scanned reference plate is an indication of the random error (measurement noise) of the scanner.…”

Section: Short Range (Distance < 2 M)mentioning

confidence: 99%

Proposed procedure for a distance protocol in support of ASTM-E57 standards activities on 3D imaging

Beraldin

Cournoyer

Picard

et al. 2009

Three-Dimensional Imaging Metrology

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The performance of 3D Imaging Systems needs to be evaluated using a common terminology and test procedures. This evaluation is necessary because three-dimensional imaging systems are measuring instruments and the spatial coordinates they provide are only estimates of the 3D surfaces being sampled. These coordinates need to be completed by a quantitative statement about their uncertainty to be meaningful. The statement of uncertainty is based on comparisons with standards traceable to the national units of length (SI units). We describe and present experimental results of a procedure to evaluate distance measurement uncertainty of medium range laser scanners (range between 2-100m). The procedure is based on the evaluation of Point-to-Point distance errors using custom made Reference Test Object (RTO) and a certified 3D laser tracker as a reference. This work is proposed as a possible protocol to the American Society for Testing and Materials (ASTM)-E57.02 3D Imaging Systems standards committee on test methods.

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“…Besic et al [4] presented an application to improve the accuracy of a laser line scanner using the median filter. Gestel et al [5] used a plane to check the performance of laser line scanners, arguing that it is a fast, easy and simple method. This work deals with performance verification of a low cost three dimensional laser scanner with a granite square gauge.…”

Section: Introductionmentioning

confidence: 99%

Performance of a low cost laser scanner using a granite square gauge

Piratelli-Filho

Anwer

Souzani

et al. 2017

18th International Congress of Metrology

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Abstract. This work deals with performance verification of a low cost laser scanner with a granite square gauge. This gauge has well finished surfaces and dimensional precision, enough for verification of a low cost laser scanner. The square was initially measured with the scanner and a cloud of points was saved in a file. A filtering method was applied to extract noise from data and the flatness deviation of each plane, together with the angle between planes, were determined. MatLab software was used as a tool to determine the deviations and angles. Analysis of normality of data was carried out with normal probability plot graphs. Results were compared and were below from scanner manufacturer ones. It was observed that deviations were above stated in manufacturer manual.

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A performance evaluation test for laser line scanners on CMMs

Cited by 140 publications

References 7 publications

High Precision Laser Scanning of Metallic Surfaces

High Precision Laser Scanning of Metallic Surfaces

Proposed procedure for a distance protocol in support of ASTM-E57 standards activities on 3D imaging

Performance of a low cost laser scanner using a granite square gauge

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