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Particulates in microscope imagery can interfere with cell boundary tracking algorithms. In this paper, we present an automated way of identifying and tracking particulates. We also demonstrate a way of ‘removing’ the particulates from the image to obtain a more accurate segmentation and demonstrate this using a previously-developed active contour-based segmentation algorithm. We also demonstrate...
A combined knowledge-based segmentation/active contour algorithm is used for target tracking through turbulence. The algorithm utilizes Bayesian modeling for segmentation of noisy imagery obtained through longrange, laser imaging of a distance target, and active contours for tip tracking. The algorithm demonstrates improved target tracking performance when compared to weighted centroiding. Open-loop...
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