Infrared Technology, Volume. 43, Issue 5, 502(2021)
Power Plant Pipeline Defect Detection and Segmentation Based on Otsu’s and Region Growing Algorithms
[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