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We present a 3D segmentation technique of trabecular (cancellous) bones in CT images of Vertebral bodies (VBs). In order to be used for Bone Mineral Density (BMD) measurements, the cortical and trabecular bones are subsequently segmented using graph cuts method and local volume growing methods separately. In the final step, we measure our segmentation accuracy for each method. Validity was analyzed...
In this paper, we consider the problem of radar detector threshold optimization for maneuvering targets in clutter. In the earlier works, the problem was studied in the context of the probabilistic data association filter (PDAF) for non-maneuvering targets. In this study, we have extended the ideas, which were applied to the PDAF, to the interacting multiple model PDAF (IMM-PDAF) for maneuvering targets...
The problem of instantaneous threshold optimization is studied. Over the earlier formulation of the problem, for Neyman-Pearson detector a closed-form solution is developed. The proposed solution provides a low-cost computational approach for setting the false alarm rate of the detector in each tracking instant instead of setting it constantly. The results are validated through experiments.
A promising line of research attempts to bridge the gap between radar detector and radar tracker by means of considering jointly optimal parameter settings for both of these subsystems. This approach, which can also be considered as a form of feedback from the tracker to the detector results in an adaptive radar system. In the present work, we attempt to move in a direction to fulfill this promise...
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