• Optics and Precision Engineering
  • Vol. 25, Issue 5, 1322 (2017)
WEN Guang-rui1,2, XU Bin1, ZHANG Zhi-fen1, and CHEN Feng1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3788/ope.20172505.1322 Cite this Article
    WEN Guang-rui, XU Bin, ZHANG Zhi-fen, CHEN Feng. Self-adaptive segmentation of oil monitoring ferrographic image based on difference quotient[J]. Optics and Precision Engineering, 2017, 25(5): 1322 Copy Citation Text show less
    References

    [1] ZHANG X M, YIN X X, TU Q.High-dimensional multilevel thresholding based on BBO with dynamic migration and salt & pepper mutation [J]. Opt. Precision Eng., 2015, 23(10): 2943-2949.(in Chinese)

    [2] TANG Q J, LIU J Y, WANG Y, et al.. Infrared image edge recognition and defect quantitative determination based on the algorithm of fuzzy C-means clustering and Canny operator[J]. Infrared and Laser Engineering, 2016, 45(9): 274-278.(in Chinse)

    [3] MEHMET S, BULENT S. Survey over image thresholding techniques and quantitative performance evaluation [J].Journal of Electronic Imaging, 2004, 13(1), 146-165.

    [4] WANG D D, ZHANG W, JIN G F, et al.. Application of cusp catastrophic theory in image segmentation of infrared thermal waving inspection [J]. Infrared and Laser Engineering, 2014, 43(3): 1009-1015.(in Chinese)

    [5] YU SH Q, DAI X J. Wear particle image segmentation method based on the recognition of background color [J].Tribology, 2007, 27(5): 467-471.(in Chinese)

    [6] LI SH CH, ZUO H F, ZHANG Y B. Wear debris recognition for oil on-line monitoring system [J].Opt. Precision Eng., 2009, 17(3): 589-595. (in Chinese)

    [7] WEI Y, CHIN K S, MENG H, et al.. Shape classification of wear particles by image boundary analysis using machine learning algorithms [J].Mechanical Systems and Signal Processing, 2016, 72-73: 346-358.

    [8] YUAN X C, WU L SH, CHEN H W. Rail image segmentation based on Otsu threshold method[J]. Opt. Precision Eng., 2016, 24(7): 1772-1781.(in Chinese)

    [9] ZHEN X F. Algorithms with heredity for difference quotient and Newton interpolation polynomial [J]. J. HuazhongUniv. of Sci.& Tech, 2000, 28(4): 35-38.(in Chinese)

    [10] WANG X H, WANG H Y. A study for formulas of numerical difference quotient [J].Science in China Ser. A Mathematics, 2005, 35(6): 712-720.(in Chinese)

    [11] GWIDON P S, GWIDON W S, PAWEL P. Automated classification of wear particles based on their surface texture and shape features [J]. Tribology International, 2008, 41(1): 34-43.

    [12] ZHAO D, ZHAO H W, YU F H. Moving object image segmentation by dynamic multi-objective optimization [J].Opt. Precision Eng., 2015, 23(7): 2109-2116.(in Chinese)

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    [1] DENG Ji, LI Jian, FENG Hao, ZENG Zhou-mo. Three-dimensional depth segmentation technique utilizing discontinuities of wrapped phase sequence[J]. Optics and Precision Engineering, 2019, 27(11): 2459

    [2] XU Bin, WEN Guang-rui, SU Yu, ZHANG Zhi-fen, CHEN Feng, SUN Yao-ning. Application of multi-level information fusion for wear particle recognition of ferrographic images[J]. Optics and Precision Engineering, 2018, 26(6): 1551

    WEN Guang-rui, XU Bin, ZHANG Zhi-fen, CHEN Feng. Self-adaptive segmentation of oil monitoring ferrographic image based on difference quotient[J]. Optics and Precision Engineering, 2017, 25(5): 1322
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