Infrared Technology, Volume. 47, Issue 2, 235(2025)
Superpixel-Based Improved Fuzzy C-Means Clustering for Electrical Equipment Infrared Image Segmentation
[1] [1] BU C, LIU T, LI R, et al. Infrared image segmentation algorithm based on multi structure morphology—pulse coupled neural network in application to the inspection of aerospace materials[J]. Russian Journal of Nondestructive Testing, 2022, 57(11): 1018-1026.
[2] [2] FENG Hong, SONG Jie, HANG Meng, et al. A novel framework on intelligent detection for module defects of PV plant combining the visible and infrared images[J]. Solar Energy, 2022, 236: DOI: 10.1016/j.solener.2022.03.018
[7] [7] XIAO Leyi, OUYANG Honglin, FAN Chaodong. An improved Otsu method for threshold segmentation based on set mapping and trapezoid region intercept histogram[J]. Optik, 2019, 196(C): 163106-163106.
[8] [8] GUO H, CHEN P, HUANG S, et al. A threshold segmentation method for non-uniform illumination image based on brightness equalization[J]. IOP Conference Series: Materials Science and Engineering, 2019, 569: 052046.
[15] [15] ZADEH LA. Fuzzy sets[J]. Information and Control, 1965, 8(3): 338-353.
[16] [16] WANG Qingsheng, WANG Xiaopeng, FANG Chao, et al. Robust fuzzy c-means clustering algorithm with adaptive spatial & intensity constraint and membership linking for noise image segmentation[J]. Applied Soft Computing Journal, 2020, 92: 106318.
[17] [17] LEI Tao, JIA Xiaohong, ZHANG Yanning, et al. Significantly fast and robust fuzzy C-Means clustering algorithm based on morphological reconstruction and membership filtering[J]. IEEE Transactions on Fuzzy Systems, 2018, 26(5): 3027- 3041.
[18] [18] LEI Tao, JIA Xiaohong, ZHANG Yanning, et al. Superpixel-based fast fuzzy C-Means clustering for color image segmentation[J]. IEEE Trans. Fuzzy Systems, 2019, 27(9): 1753-1766.
[19] [19] ACHANTA R, SUSSTRANK S. Superpixels and polygonsusing simple non-iterative clustering[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017: 4895-4904.
Get Citation
Copy Citation Text
WU Xiaojun, YU Xianzhe, WANG Peng, ZHAO He, LI Tiancheng. Superpixel-Based Improved Fuzzy C-Means Clustering for Electrical Equipment Infrared Image Segmentation[J]. Infrared Technology, 2025, 47(2): 235