Image Acquisition and Processing Equipment for Machine Vision
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Abstract : The Grant titled Image Acquisition and Processing Equipment for Machine Vision funded under the Defense University Research Instrumentation Program was used to obtain a sensor and state-of-the-art special-purpose computer equipment for research on problem sof image analysis and computer vision. Our approach to problems in image analysis is strongly rooted in a mathematical statistical foundation. The foundation builds from Pattern Theory and adopts a Bayesian formulation of image inference problems. While a primary objective of the research is to develop a unified theoretical framework to encompass low-level image processing and high-level computer vision, the work has continually been driven by applications and real data. Examples of motivating applications have included enhancement and segmentation of FLIR imagery, texture segmentations for SAR imagery, image reconstruction methods for single photon emission tomography, visual microdefect inspection of semiconductor wafers, and identification of biological shapes. We always bring the emerging theory back to the motivating application and attempt to implement algorithms for the driving problem.