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논문 기본 정보

자료유형
학술저널
저자정보
Yun-hui Qu (Shaanxi University of Science & Technology) Wei Tang (Shaanxi University of Science & Technology) Bo Feng (Shaanxi University of Science & Technology)
저널정보
한국펄프·종이공학회 펄프·종이기술 펄프·종이기술 제52권 제4호(통권 제195호)
발행연도
2020.8
수록면
28 - 37 (10page)
DOI
10.7584/JKTAPPI.2020.08.52.4.28

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초록· 키워드

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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 realtime detection of the paper production process.

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ABSTRACT
1. Introduction
2. Materials and Methods
3. Results and Discussion
4. Conclusions
Literature Cited

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UCI(KEPA) : I410-ECN-0101-2020-586-001126486