• Infrared Technology
  • Vol. 43, Issue 5, 502 (2021)
Daogang PENG1、*, Lei YIN1, Erjiang QI1, Jie HU2, and Xiaowei YANG3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: Cite this Article
    PENG Daogang, YIN Lei, QI Erjiang, HU Jie, YANG Xiaowei. Power Plant Pipeline Defect Detection and Segmentation Based on Otsu’s and Region Growing Algorithms[J]. Infrared Technology, 2021, 43(5): 502 Copy Citation Text show less
    References

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    [8] SONG L, LV Y, YANG B, et al. Segmentation of breast masses using adaptive region growing[C]//Ulaanbaatar, Ifost, 2013: 77-81.

    [15] SHAO L, ZHANG Y, LI J, et al. Research on High Temperature Region of Infrared Pipeline Image Based on Improved Two-Dimensional-Otsu[J]. Spectroscopy and Spectral Analysis, 2019, 39(5): 1637-1642.

    [18] HUANG C, LIU Q, LI X. Color image segmentation by seeded region growing and region merging[C]//2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010: 533-536.

    [19] YANG L, WU X, ZHAO D, et al. An improved Prewitt algorithm for edge detection based on noised image[C]//2011 4th International Congress on Image and Signal Processing, 2011: 1197-1200.

    PENG Daogang, YIN Lei, QI Erjiang, HU Jie, YANG Xiaowei. Power Plant Pipeline Defect Detection and Segmentation Based on Otsu’s and Region Growing Algorithms[J]. Infrared Technology, 2021, 43(5): 502
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