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Proceedings Paper

Model-based tracking of deformable filaments
Author(s): Lawrence M. Lifshitz
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Paper Abstract

We describe a model-based tracking algorithm designed to follow bright, slowly deforming filaments through a series of two dimensional, gray-scale images. The images can have both structured and unstructured background noise. Tens of filaments can exist in each image; the filaments can cross each other and need not be uniformly bright along their lengths. The algorithm has 3 basic steps. First, a line segment detector (AVS) is applied to find parts of the filaments. Second, these parts are matched to a model of the filaments in the image. The match uses an interpretation tree to find the globally best match of parts of filaments. Third, a new model is produced by choosing a subset of the parts matched to the filaments and interpolating between neighboring parts on the same filament. The algorithm is applied to moving, fluorescently labelled cells.

Paper Details

Date Published: 1 February 1992
PDF: 13 pages
Proc. SPIE 1609, Model-Based Vision Development and Tools, (1 February 1992); doi: 10.1117/12.57124
Show Author Affiliations
Lawrence M. Lifshitz, Univ. of Massachusetts Medical School (United States)


Published in SPIE Proceedings Vol. 1609:
Model-Based Vision Development and Tools
Rodney M. Larson; Hatem N. Nasr, Editor(s)

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