Abstract
In this paper, we show how to extract reliable informations about the shape of 3D objects, obtained from volume medical images. We present an optimal region-growing strategy, that makes use of the differential characteristics of the object surface, and achieves a stable segmentation into a set of patches of quadratic surfaces. We show how this segmentation can be used to recognize and locate a target substructure on a global anatomic structure.
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© 1995 Springer-Verlag Berlin Heidelberg
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Bricault, I., Monga, O. (1995). Modeling 3D Objects with Quadratic Surface Patches: Application to the Recognition and Locating of Anatomic Structures. In: Ayache, N. (eds) Computer Vision, Virtual Reality and Robotics in Medicine. CVRMed 1995. Lecture Notes in Computer Science, vol 905. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-49197-2_60
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DOI: https://doi.org/10.1007/978-3-540-49197-2_60
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-59120-7
Online ISBN: 978-3-540-49197-2
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