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23 June 1993 Segmentation in blurred images
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Abstract
Edges in blurred data are modeled as the separatrices of the gradient dynamical system of the Laplacian of the input image. Such edges are detected by an algorithm which integrates the dynamical system with an omni-directional tracker. Features are extracted by a heuristic that is based on the topological behavior of the image class of the application. This approach is applied to delineate the walls of left ventricles in cardiac Thallium tomograms.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Warren M. Krueger "Segmentation in blurred images", Proc. SPIE 2035, Mathematical Methods in Medical Imaging II, (23 June 1993); https://doi.org/10.1117/12.146595
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