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Paper data
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Title:
Volume Simplification and Segmentation by 3D Connected Operators Author(s): Signoroni Alberto, University of Brescia, Italy Leonardi Riccardo, University of Brescia, Italy Page numbers in the proceedings: Volume III pp 489-492 Session: Segmentation and Vision
Paper abstract
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An extension to connected operator filtering is proposed here for 3D still images (e.g. biomedical volumes). The "surface preservation" property of this kind of morphological processing can be exploited to obtain a "simplification" effect on the data, deriving from the cancellation of some undesired 3D structures; this is achieved by some filtering criteria which can be related to different objectives, varying from denoising to real structure removal purposes. We also show how the simplification process constitutes a useful pre-processing step to improve the performance of an automatic and/or assisted morphological segmentation of volumetric objects in the case of noisy, natural and complex data, such as MR and CT volumes.
Paper
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