Segmentation in blurred images

Warren M. Krueger

doi:10.1117/12.146595

23 June 1993 Segmentation in blurred images

Warren M. Krueger

Proceedings Volume 2035, Mathematical Methods in Medical Imaging II; (1993) https://doi.org/10.1117/12.146595
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

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.

Citation Download Citation

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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