Sonoluminescence bubble measurements using vision-based algorithms

Nancy R. Hall; Jeffrey R. Mackey; Thomas J. Matula

doi:10.1117/12.516150

26 February 2004 Sonoluminescence bubble measurements using vision-based algorithms

Nancy R. Hall, Jeffrey R. Mackey, Thomas J. Matula

Proceedings Volume 5265, Two- and Three-Dimensional Vision Systems for Inspection, Control, and Metrology; (2004) https://doi.org/10.1117/12.516150
Event: Photonics Technologies for Robotics, Automation, and Manufacturing, 2003, Providence, RI, United States

Abstract

Vision-based measurement methods were used to measure bubble sizes in this sonoluminescence experiment. Bubble imaging was accomplished by placing the bubble between a bright light source and a microscope-CCD camera system. A collimated light-emitting diode was operated in a pulsed mode with an adjustable time delay with respect to the piezo-electric transducer drive signal. The light-emitting diode produced a bubble shadowgraph consisting of a multiple exposure made by numerous light pulses imaged onto a charge-couple device camera. Each image was transferred from the camera to a computer-controlled machine vision system via a frame grabber. The frame grabber was equipped with on-board memory to accommodate sequential image buffering while images were transferred to the host processor and analyzed. This configuration allowed the host computer to perform diameter measurements, centroid position measurements and shape estimation in "real-time" as the next image was being acquired. Bubble size measurement accuracy with an uncertainty of 3 microns was achieved using standard lenses and machine vision algorithms. Bubble centroid position accuracy was also within the 3 micron tolerance of the vision system. This uncertainty estimation accounted for the optical spatial resolution, digitization errors and the edge detection algorithm accuracy. The vision algorithms include camera calibration, thresholding, edge detection, edge position determination, distance between two edges computations and centroid position computations.

Citation Download Citation

Nancy R. Hall, Jeffrey R. Mackey, and Thomas J. Matula "Sonoluminescence bubble measurements using vision-based algorithms", Proc. SPIE 5265, Two- and Three-Dimensional Vision Systems for Inspection, Control, and Metrology, (26 February 2004); https://doi.org/10.1117/12.516150

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KEYWORDS

Stereolithography

Image processing

Acoustics

Cameras

Calibration

Imaging systems

Machine vision

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