Modified unsharp masking detection using Otsu thresholding and Gray code

Chun Lin Lin, Chung-Yen Su

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

1 Citation (Scopus)

Abstract

In order to improve image quality, unsharp masking (USM) is a great solution for image enhancement. To detect USM sharpening, we propose an improved method called edge perpendicular Gray coding (EPGC). With EPGC, the number of feature points generated from binary encoding can be reduced to half and thus the execution of calculating histogram can be accelerated. In addition, we use Otsu thresholding to enhance Canny edge detection. As a result, the accuracy of USM detection is increased. Experimental results show that EPGC performs better than previous methods.

Original languageEnglish
Title of host publicationProceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages787-791
Number of pages5
ISBN (Electronic)9781467380751
DOIs
Publication statusPublished - 2016 May 19
EventIEEE International Conference on Industrial Technology, ICIT 2016 - Taipei, Taiwan
Duration: 2016 Mar 142016 Mar 17

Publication series

NameProceedings of the IEEE International Conference on Industrial Technology
Volume2016-May

Other

OtherIEEE International Conference on Industrial Technology, ICIT 2016
CountryTaiwan
CityTaipei
Period16/3/1416/3/17

Keywords

  • Gray coding
  • Otsu method
  • unsharp masking sharpening

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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  • Cite this

    Lin, C. L., & Su, C-Y. (2016). Modified unsharp masking detection using Otsu thresholding and Gray code. In Proceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016 (pp. 787-791). [7474851] (Proceedings of the IEEE International Conference on Industrial Technology; Vol. 2016-May). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIT.2016.7474851