Infrared Technology, Volume. 43, Issue 5, 502(2021)

Power Plant Pipeline Defect Detection and Segmentation Based on Otsu’s and Region Growing Algorithms

Daogang PENG1、*, Lei YIN1, Erjiang QI1, Jie HU2, and Xiaowei YANG3
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  • 1[in Chinese]
  • 2[in Chinese]
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    References(6)

    [5] [5] Jain Preetha M M S, Padmasuresh L, Bosco M J. Firefly based region growing and region merging for image segmentation[C]//2016 International Conference on Emerging Technological Trends (ICETT), 2016: 1-9.

    [7] [7] Senthilkumar B, Umamaheswari G, Karthik J.A novel region growing segmentation algorithm for the detection of breast cancer[C]//2010 IEEE International Conference on Computational Intelligence and Computing Research, 2010: 1-4.

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

    [18] [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] [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.

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    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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    Paper Information

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    Received: Aug. 16, 2020

    Accepted: --

    Published Online: Aug. 23, 2021

    The Author Email: Daogang PENG (pengdaogang@126.com)

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