10.14489/td.2014.04.pp.012-019

2014, 04 April

DOI: 10.14489/td.2014.04.pp.012-019

Makhov V. E., Repin O. S., Potapov A. I.
MEASUREMENT OF LINEAR DIMENSIONS OF MACHINE VISION SYSTEMS IN COHERENT LIGHT
(pp. 12-19)

Abstract. Background. Vision systems are widely used in industry, allow for automated monitoring of geometric parameters of products in real time. Coherent light sources extend the capabilities of vision systems; however, do not apply because of the distinct phenomena of interference and diffraction, and the presence of coherent optical noise (speckle noise) in the image. Therefore, allocation of dominant informational component in the optical image in the presence of speckle noise is a very urgent task. Materials and/or methods. To isolate the dominant information component in the optical image obtained under the lighting coherent source of light is used algorithm wavelet reconstruction signals. To measure the distance between the boundaries of the shadow images used method of finding the coordinates of the maxima of the coefficients of continuous wavelet transform of the reconstructed signal. Results. Studies have shown the possibility to measure the linear dimensions in its reconstruction following the method of continuous wavelet transform into a selected line measuring accuracy of 1.5 pixels, when averaged across multiple lines images is achieved by measuring accuracy of 1 pixel, which corresponds to the accuracy of the standard measurement algorithms used technical systems of view. Conclusion. Use as lighting devices of coherent light sources enhances possibility vision systems, allows for lensless measuring circuits.

Keywords: speckle noise, the wavelet reconstruction, the continuous wavelet the transformation (CWT), a virtual instrument (VI).

+ - About the Authors Click to collapse

V. E. Makhov
National Research University “St. Petersburg State Polytechnic University”, St. Petersburg, Russia. E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.

O. S. Repin, A. I. Potapov
National Mineral Resources University, St. Petersburg, Russia

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