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Oak Ridge National Laboratory Progress Update on Segmentation of Neutron Tomographic Images, 2017

Technical Report ·
DOI:https://doi.org/10.2172/1868506· OSTI ID:1868506
 [1];  [2];  [2];  [2]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Oak Ridge National Laboratory
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

The present report documents progress regarding segmentation of fast-neutron tomographic images of objects consisting of assemblies of machined parts with distinct boundaries. This report satisfies the fiscal year 2017 technical deliverable for project OR16-3DTomography-PD3Jb, “3D Tomography and Image Processing Using Fast Neutrons,” to report on the extension of geometric shape-finding algorithms to three dimensions. The project has two overall goals. The first of these goals is to extend associated particle fast neutron transmission and, particularly, induced-reaction tomographic imaging algorithms to three dimensions. The second of these goals is to automatically segment the resultant tomographic images into constituent parts, and then extract information about the parts, such as the class of shape and potentially the shape parameters. This report addresses continued progress in the component of the project concerned with image segmentation.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE
DOE Contract Number:
AC05-00OR22725
OSTI ID:
1868506
Report Number(s):
ORNL/LTR-2017/285
Country of Publication:
United States
Language:
English

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