Open Access Paper
17 September 2019 Production of a favorable calibration target for the determination of distortions of lenses in image processing
Rolf Hoffmann, Gunther Notni
Author Affiliations +
Proceedings Volume 11144, Photonics and Education in Measurement Science 2019; 111441C (2019) https://doi.org/10.1117/12.2532544
Event: Joint TC1 - TC2 International Symposium on Photonics and Education in Measurement Science 2019, 2019, Jena, Germany
Abstract
Lenses have a number of faults. The distortion is an error which has a negative effect especially in metrological applications. In extreme cases, distortion can also be visible to the naked eye. The distortion of lenses is a systematic error that can be corrected numerically. For this purpose, a target with a smaller local deviation is necessary. These targets are produced and measured with great effort. Especially for the area of large object fields the effort increases enormously. For this reason, no correction has been made for larger measuring ranges. In order to be able to apply a correction nevertheless, a compromise solution is required that produces a target with little effort, with which a correction becomes possible that is better than not applying any correction at all. Here, calibration targets were printed and examined with commercially available printers.

1.

INTRODUCTION

In order to carry out high-precision measurements with the aid of optical image processing, it is of decisive importance that the quality of the image to be measured is of particularly high quality. Low noise, contrast and other factors play a role. A major problem here are distortions in the image caused by the lens. Figure 1 shows an extreme case of distortion of a lens.

Figure 1.

Fisheye effect as image distortion

00056_PSISDG11144_111441C_page_1_1.jpg

In such a case, metric measurements in the image range from poor accuracy to useless measurement results. To remove the distortion, the camera system must be calibrated. This procedure requires a calibration target (Fig. 2).

Figure 2.

Chrome glass calibration target

00056_PSISDG11144_111441C_page_2_1.jpg

2.

USEFUL STRUCTURES FOR CALIBRATION TARGETS

In order to determine the exact distortion of a lens, it is necessary to determine the deviation from the actual target position for each location in the image. This requires calibration targets that fill the entire usable image area. Furthermore, the exact coordinates of all geometric elements in the calibration target must be known. Meaningful structures can be seen in the following images:

Figure 3.

Point structure for a calibration target

00056_PSISDG11144_111441C_page_2_2.jpg

Figure 4.

Alternative point structure for a calibration target

00056_PSISDG11144_111441C_page_3_1.jpg

Figure 5.

Checkerboard structure for a calibration target

00056_PSISDG11144_111441C_page_3_2.jpg

Figure 6.

Crosses structure for a calibration target

00056_PSISDG11144_111441C_page_3_3.jpg

Figure 7.

Grid structure for a calibration target

00056_PSISDG11144_111441C_page_4_1.jpg

Figure 8.

Rings structure for a calibration target

00056_PSISDG11144_111441C_page_4_2.jpg

3.

DETERMINATION OF DISTORTION

The positions of the geometric elements are determined in the image by means of image processing algorithms. These algorithms indicate the deviations in the image from the target positions. The determined positions serve as support points to create a flat 2D distortion correction. Figure 9 shows the image acquisition of a point structure and Figure 10 shows the probed point elements through image processing.

Figure 9.

Image acquisition of a point structure

00056_PSISDG11144_111441C_page_5_1.jpg

Figure 10.

Detected and measured point elements

00056_PSISDG11144_111441C_page_5_2.jpg

4.

QUALITY OF THE CALIBRATION TARGETS

The exact determination of the position of the geometric elements is of essential importance. Factors influencing the accuracy of the position determination include the image parameters: Sharpness and contrast in the image, artifacts in the image and other parameters. But also the quality of the individual geometry elements on the calibration targets is of great importance and the material on which the calibration structures are applied. The following pictures show example printouts on normal copy paper, on a foil and on photo paper. Printing was done with the inkjet printer HP K7100 and the laser printer Lexmark Optra T610(MS).

Figure 11.

Normal copy paper, 1200 dpi

00056_PSISDG11144_111441C_page_6_1.jpg

Figure 12.

Foil “AVERY Zweckform Laser + Kopier-Folie”, 1200 dpi

00056_PSISDG11144_111441C_page_6_2.jpg

Figure 13.

Photographic paper “HP Everyday Fotopapie, 600 dpi

00056_PSISDG11144_111441C_page_7_1.jpg

With the UNI-VIS 250 coordinate measuring machine from Mahr OKM GmbH, the point elements of the printed calibration targets were precisely measured. This provides information on how precisely the position of the geometry elements could be printed with the printer. These values serve as reference values for quality assessment. Figures 14 - 16 show an impression of the image quality of the image recordings of the calibration structures.

Figure 14.

Normal copy paper, 1200 dpi, laser printer Lexmark Optra T610(MS), incident light 28.8%, transmitted light 100%

00056_PSISDG11144_111441C_page_7_2.jpg

Figure 15.

Foil “AVERY Zweckform Laser + Kopier-Folie”, 1200 dpi, laser printer Lexmark Optra T610(MS), incident light 0%, transmitted light 16.8%

00056_PSISDG11144_111441C_page_8_1.jpg

Figure 16.

Photographic paper “HP Everyday Fotopapier”, 600 dpi, laser printer Lexmark Optra T610(MS), incident light 40%, transmitted light 100%

00056_PSISDG11144_111441C_page_8_2.jpg

Since the material printed on (paper, foil), is not ideal to achieve the highest image quality, there are losses in the achievable measurement accuracy.

Depending on the selected print resolution and the resolution of the optical system, dots of the printing process are more or less recognizable (Fig. 17).

Figure 17.

Visible dots of the printing process, normal copy paper, 72 dpi, inkjet printer HP K7100, incident light 52%, transmitted light 100%

00056_PSISDG11144_111441C_page_9_1.jpg

In comparison, a professionally manufactured calibration standard looks like Figure 18.

Figure 18.

A cutout of the “Sample of optical calibration plate” of IMT Masken und Teilungen AG, incident light 99.6%, transmitted light 76.8%

00056_PSISDG11144_111441C_page_9_2.jpg

The position deviations of the point elements, measured with the UNI-VIS 250 coordinate measuring machine from Mahr OKM GmbH, can be seen in image diagrams 19 - 23.

Figure 19.

Position deviations [μm], normal copy paper, 1200 dpi, laser printer Lexmark Optra T610(MS)

00056_PSISDG11144_111441C_page_10_1.jpg

Figure 20.

Position deviations [μm], foil “AVERY Zweckform Laser + Kopier-Folie”, 1200 dpi, laser printer Lexmark Optra T610(MS)

00056_PSISDG11144_111441C_page_10_2.jpg

Figure 21.

Position deviations [μm], photographic paper “HP Everyday Fotopapier”, 600 dpi, laser printer Lexmark Optra T610(MS)

00056_PSISDG11144_111441C_page_10_3.jpg

Figure 22.

Position deviations [μm], normal copy paper, 72 dpi, inkjet printer HP K7100

00056_PSISDG11144_111441C_page_11_1.jpg

Figure 23.

Position deviations [μm], “Sample of optical calibration plate” of IMT Masken und Teilungen AG

00056_PSISDG11144_111441C_page_11_2.jpg

5.

CONCLUSIONS

It is possible to produce calibration targets with commercially available equipment (printers, print media). Depending on the printing technology and printing medium, the position deviations of the geometric elements can be an order of magnitude worse than those of a professionally produced calibration standard. Depending on the printer, periodic deviation errors can occur, which exist as systematic errors in addition to random errors.

Thus, this represents a cost-effective and practicable solution for the simple production and use of calibration targets.

REFERENCES

[1] 

Steger, Carsten, Ulrich, Markus, Wiedemann, Christian, Wiley-VCH Verlag GmbH & Co. KgaA, Weinheim (2007). Google Scholar

[2] 

Jähne, Bernd, Springer-Verlag, Berlin (2012). Google Scholar

[3] 

Zhang, Z, “A flexible new technique for camera calibration. IEEE Trans. On Pattern Analysis an Machine Intelligence (PAMI),” 22 (11), 1330 –1334 (2000). Google Scholar

[4] 

Tu, Huanbo, (2014). Google Scholar

[5] 

Steinbrecher, Rainer, Oldenbourg Verlag, München (1993). Google Scholar
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rolf Hoffmann and Gunther Notni "Production of a favorable calibration target for the determination of distortions of lenses in image processing", Proc. SPIE 11144, Photonics and Education in Measurement Science 2019, 111441C (17 September 2019); https://doi.org/10.1117/12.2532544
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Calibration

Image processing

Printing

Image quality

Lenses

Image acquisition

Back to Top