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An intelligent instrumentation system is being implemented to analyze images stored during pulsed laser illumination of fuel sprays. Images are stored on magnetic video disk during the experiment and later analyzed with a system consisting of a commercial image processor and a minicomputer. The system employs computer vision algorithms to reduce the effects of shading and to segment candidate droplets from each image. Pattern recognition methods will be used to extract features from each droplet and to reject those which are not in the sample volume. The final output of the system is an accumulation of droplet size distributions at various sample points in the spray.
spray measurement, image processing, computer vision, video recording, lasers, image formation, optics, diffraction, pattern recognition, classification
Staff research engineer, General Motors Research Laboratories, Warren, MI