A press-through package design similarity index with inpainting technique

Seitaro Suzuki, Masaomi Kimura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In order to prevent medical accidents related to drugs, not only developing safe drugs but also their proper use is important. In this paper, we proposed the method to measure look-alikeness between not only backside designs but also front side designs. Since the major difference between backside designs and front sides is the existence of tables or capsules, we applied image inpainting technique to convert the original PTP front side images to “tabletless” PTP sheet images. In order to employ inpainting technique, a neural network was used to obtain a mask image which masks tablet/capsule parts. To the resultant images, the similarity index calculation was applied as proposed in our previous study.

Original languageEnglish
Title of host publicationAdvances in Safety Management and Human Factors - Proceedings of the AHFE 2017 International Conference on Safety Management and Human Factors, 2017
PublisherSpringer Verlag
Pages524-531
Number of pages8
Volume604
ISBN (Print)9783319605241
DOIs
Publication statusPublished - 2018
EventAHFE 2017 International Conference on Safety Management and Human Factors, 2017 - Los Angeles, United States
Duration: 2017 Jul 172017 Jul 21

Publication series

NameAdvances in Intelligent Systems and Computing
Volume604
ISSN (Print)2194-5357

Other

OtherAHFE 2017 International Conference on Safety Management and Human Factors, 2017
CountryUnited States
CityLos Angeles
Period17/7/1717/7/21

Keywords

  • Fourier transformation
  • Image processing
  • Medical safety
  • Similarity

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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  • Cite this

    Suzuki, S., & Kimura, M. (2018). A press-through package design similarity index with inpainting technique. In Advances in Safety Management and Human Factors - Proceedings of the AHFE 2017 International Conference on Safety Management and Human Factors, 2017 (Vol. 604, pp. 524-531). (Advances in Intelligent Systems and Computing; Vol. 604). Springer Verlag. https://doi.org/10.1007/978-3-319-60525-8_54