Abstract
A machine vision system for characterizing fluorescent particle spray deposits incorporates as key features of the system, ultraviolet lighting, a narrow-bandpass interference filter, a parfocal zoom lens, an image intensifier and a real-time image averager. High quality images were consistently obtained, allowing the detection of particles as small as 5 mm diameter. Image processing algorithms were used to extract deposit features and measure the target area covered by the deposits. A high correlation was found to exist between the percent area covered as measured by image analysis and the mass deposition as indicated by fluorometer measurements. The spatial uniformity in spray coverage achieved by electrostatic, uncharged, and hydraulic spray methodologies are compared.
Published Version
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