IMARS (iMaging Analysis Research Software)

Research output: Contribution to journalConference articlepeer-review

10 Scopus citations

Abstract

Image processing has become a mainstream capability with commercial software that allow the general public to perfom, for example, photograph enhancement such as noise reduction or deblurring. Scientific imaging data sets often require quantitative image analysis that can only be performed with careful algorithm development. Recently, a number of software packages have been developed with different image processing capabilities. Most of them require some level of algorithm development to be able to perform data analysis. In 2011, the CG-1D neutron imaging beamlinejoined the Oak Ridge National Laboratory Neutron Sciences general user program and efforts focused on data processing and analysis software development. The iMage Analysis Research Software (iMARS) was developed to respond to the CG-1D user demand and provide semi-automated data normalization, processing and analysis tools in the MATLAB® framework. New algorithms are often implemented to the iMARS framework per user request.A brief description of the neutron imaging beamlinescientific community will be presented and will be followed by a detailed overview of the iMARS software.

Original languageEnglish
Pages (from-to)343-348
Number of pages6
JournalPhysics Procedia
Volume69
DOIs
StatePublished - 2015
EventProceedings of the 10th World Conference on Neutron Radiography, WCNR-10 2014 - Grindelwald, Switzerland
Duration: Oct 5 2014Oct 10 2014

Funding

Notice: This manuscript has been authored by UT-Battelle, LLC, under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes.

Keywords

  • MATLAB
  • data normalization
  • image processing
  • software packages

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