Adaptive visual sort and summary of micrographic images of nanoparticles for forensic analysis

@article{Jurrus2016AdaptiveVS,
  title={Adaptive visual sort and summary of micrographic images of nanoparticles for forensic analysis},
  author={Elizabeth Jurrus and Nathan Hodas and Nathan A. Baker and Tim Marrinan and Mark D. Hoover},
  journal={2016 IEEE Symposium on Technologies for Homeland Security (HST)},
  year={2016},
  pages={1-6}
}
Image classification of nanoparticles from scanning electron microscopes for nuclear forensic analysis is a long, time consuming process. Months of analyst time may initially be required to sift through images in order to categorize morphological characteristics associated with nanoparticle identification. Subsequent assessment of newly acquired images against identified characteristics can be equally time consuming. We present INStINCt, our Intelligent Signature Canvas, as a framework for… CONTINUE READING