Abstract
In this paper a method is presented to delineate elliptically shaped objects in a scene. The detection algorithm is based on the Hough transformation. The transformation maps feature points onto the parameter space of ellipses. By applying cluster algorithms the best set of parameters of the ellipse can be estimated. The algorithm is able to detect elliptical contours even if they are only partly visualized, like the contour of the left ventricle in Thallium-201 scintigrams of patients with ischemic heart disease. Some results of the application of this transformation to synthetic and real scintigrams of elliptical objects are presented. Such an algorithm is also suitable for application to differently curved contours, as Long as the number of parameters describing the contour is relatively low.
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© 1988 Springer-Verlag Berlin Heidelberg
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Blokland, J.A.K., Vossepoel, A.M., Bakker, A.R., Pauwels, E.K.J. (1988). Detection of Elliptical Contours. In: Viergever, M.A., Todd-Pokropek, A. (eds) Mathematics and Computer Science in Medical Imaging. NATO ASI Series, vol 39. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83306-9_28
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DOI: https://doi.org/10.1007/978-3-642-83306-9_28
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