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.
CITATION STYLE
Bricault, I., & Monga, O. (1995). Modeling 3D objects with quadratic surface patches: Application to the recognition and locating of anatomic structures. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 905, pp. 460–464). Springer Verlag. https://doi.org/10.1007/978-3-540-49197-2_60
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