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2020 Vol.52, Issue 4 Preview Page
An Algorithm for On-Line Image Segmentation of Multiple Paper Defects Based on Fast Two-Dimensional Threshold Method
Yun-hui Qu12†
,
Wei Tang1
,
Bo Feng3
1Department of Electric and Control Engineering, Shaanxi University of Science & Technology, Xi’an, Shaanxi, 710021, Professor
2Computer Teaching and Research Section, Xi’an Medical University, Xi’an, Shaanxi, 710021, Professor
3Department of Electric and Control Engineering, Shaanxi University of Science & Technology, Xi’an, Shaanxi, 710021, Lecturer
†Corresponding author: E-Mail: nan-nan_1951@163.com (Address: Department of Electric and Control Engineering, Shaanxi University of Science & Technology, Xi’an, Shaanxi, 710021, People’s Republic of China)
30 August 2020. pp. 28-37
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Abstract

The two-dimensional threshold segmentation algorithm is time-consuming and cannot detect multiple paper defects. Considering these problems, a fast two-dimensional threshold method for on-line segmentation of multiple paper defects was proposed. The image subtraction operation was used first to segment the image with multiple paper defects. Then dividing two-dimensional threshold into two one-dimensional thresholds was used to accelerate the segmentation. At the same time, according to the gray distribution characteristics of the paper defect image after subtraction, the search range of the threshold was narrowed, and the selection of the optimal threshold was further accelerated. Experimental results showed that the algorithm proposed in this paper can accurately and quickly detect multiple paper defects, and could be effectively used for real-time detection of the paper production process.

Keywords
Background subtraction
multiple paper defects
two-dimensional threshold
References

Literature Cited

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Information
  • Publisher :Korea Technical Association of The Pulp and Paper Industry
  • Publisher(Ko) :한국펄프종이공학회
  • Journal Title :Journal of Korea TAPPI
  • Journal Title(Ko) :펄프종이기술
  • Volume : 52
  • No :4
  • Pages :28-37
  • Received Date : 2020-06-26
  • Revised Date : 2020-08-12
  • Accepted Date : 2020-08-14
  • DOI :https://doi.org/10.7584/JKTAPPI.2020.08.52.4.28
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