Robust Surface Detection for Variance Comparison and Dimensional Measurement

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• Publication Type: Conference Paper
• Lecturer: Christoph Heinzl
• Publisher: IEEE CS
• Keywords: Applications

@inproceedings\{heinzl_2006_RSDVCDM,
  title =      "Robust Surface Detection for Variance Comparison and
               Dimensional Measurement",
  author =     "Christoph Heinzl and Roman Klingesberger and Johann Kastner
               and Meister Eduard Gr{\"o}ller",
  year =       "2006",
  abstract =   "This paper describes a robust method for creating surface
               models from volume datasets with distorted density values
               due to artefacts and noise. Application scenario for the
               presented work is variance comparison and dimensional
               measurement of homogeneous industrial components in
               industrial high resolution 3D computed tomography (3D-CT).
               We propose a pipeline which uses common 3D image processing
               filters for pre-processing and segmentation of 3D-CT
               datasets in order to create the surface model. In
               particular, a pre-filtering step reduces noise and artefacts
               without blurring edges in the dataset. A watershed filter is
               applied on the gradient information of the smoothed data to
               create a binary dataset. Finally the surface model is
               constructed, using constrained elastic-surface nets to
               generate a smooth but feature preserving mesh of a binary
               volume. The major contribution of this paper is the
               development of the specific processing pipeline for
               homogeneous industrial components to handle large resolution
               data of industrial CT scanners. The pipeline is crucial for
               the following visual inspection of deviations.",
  pages =      "75--82",
  booktitle =  "Proceedings of Eurographics / IEEE VGTC Symposium on
               Visualization",
  publisher =  "IEEE CS",
  keywords =   "Applications",
  URL =        "http://www.cg.tuwien.ac.at/research/publications/2006/heinzl_2006_RSDVCDM/",
}