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Application of quantum dot gate nonvolatile memory (QDNVM) in image segmentation

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Abstract

This paper presents the application of quantum dot gate nonvolatile memory (QDNVM) in image processing application. The charge accumulation in the gate region varies the threshold voltage of QDNVM, which can be used as a reference voltage source in a comparator circuit. A simplified comparator circuit can be implemented using the QDNVM. In this work, the use of QDNVM-based comparators in image processing specially image segmentation is demonstrated, which can be efficient in future image processing application.

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Acknowledgments

QDNVM was fabricated by Micro-Opto Electronics Lab members in the University of Connecticut, where author was in a leading role. The development of QDNVM circuit model as well as its application in image segmentation was done by author individually after finishing his doctoral degree.

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Authors and Affiliations

  1. University of Connecticut, Storrs, CT, 06269, USA

    Supriya Karmakar, Mukesh Gogna & Faquir C. Jain

  2. Intel Corporation, Hillsboro, OR, 97124, USA

    Supriya Karmakar

Authors
  1. Supriya Karmakar
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  2. Mukesh Gogna
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  3. Faquir C. Jain
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Correspondence to Supriya Karmakar.

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Karmakar, S., Gogna, M. & Jain, F.C. Application of quantum dot gate nonvolatile memory (QDNVM) in image segmentation. SIViP 10, 551–558 (2016). https://doi.org/10.1007/s11760-015-0773-5

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  • DOI: https://doi.org/10.1007/s11760-015-0773-5

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