Document Type

Article

Publication Date

2008

Department

Mathematics

Abstract

Determining the outline or boundary contour of a two-dimensional object, or the surface of a three-dimensional object poses difficulties particularly when there is substantial measurement noise or uncertainty. By adapting the mathematical approach of stochastic function recovery to this task, it is possible to obtain usable estimates for these boundaries, even in the presence of large amounts of noise. The technique is applied to parametric boundary data and has potential applications in biomedical imaging. It should be considered as one of several techniques to improve the visualization of images. Copyright (C) 2008 J. Kolibal and D. Howard.

Publication Title

Journal of Biomedicine and Biotechnology

Volume

2008

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