Laser & Optoelectronics Progress, Volume. 57, Issue 18, 181010(2020)
Image Segmentation Algorithm Combining Non-Local Information Interception Kernel Possibilistic Clustering
Figures & Tables(9)
Fig. 1. Images of add different noises. (a) Original image; (b) salt and pepper noise; (c) Gaussian noise; (d) mixed noise
Fig. 2. Segmentation results of different algorithms. (a) Salt and pepper noise; (b) Gaussian noise; (c) mixed noise
Fig. 3. Image #42049. (a) Original image; (b) salt and pepper noise; (c) Gaussian noise; (d) mixed noise
Fig. 4. Segmentation results of different algorithms (#42049). (a) Salt and pepper noise; (b) Gaussian noise; (c) mixed noise
Fig. 5. Image Cameraman. (a) Original image; (b) salt and pepper noise; (c) Gaussian noise; (d) mixed noise
Fig. 6. Segmentation results of different algorithms (Cameraman). (a) Salt and pepper noise; (b) Gaussian noise; (c) mixed noise
Table 1. SA of noisy images by 8 algorithmsunit: %
View tableTable 1. SA of noisy images by 8 algorithmsunit: %
Algorithm PCM PFCM FLICM KFCM_ S1 KFCM_ S2 KGFCM_ S1 KGFCM_ S2 Our proposed (0.1) 94.98 95.02 99.71 98.12 96.05 96.65 95.23 99.87 Salt and pepper noise (0.2) 89.87 90.17 99.69 97.11 94.59 93.67 94.99 99.78 (0.3) 84.97 84.84 99.62 96.24 91.37 92.92 89.02 99.72 (0,0.1) 74.13 81.06 99.63 99.02 99.54 96.74 99.54 99.93 Gaussian noise (0,0.15) 72.36 76.57 99.07 97.21 99.22 95.21 99.21 99.91 (0,0.2) 70.44 73.49 99.41 97.98 99.20 93.72 99.17 99.78 (0.05)and (0, 0.05) 76.74 89.80 99.66 99.12 98.74 97.89 98.19 99.99 Mixed noise (0.1) and (0, 0.06) 75.77 87.68 99.57 97.11 98.01 96.71 95.37 99.96 (0.1)and (0, 0.1) 74.30 81.01 99.43 97.39 96.23 95.01 93.64 99.91
Table 2. Segmentation results of different algorithms (#42049)
View tableTable 2. Segmentation results of different algorithms (#42049)
Algorithm Salt and pepper noise (0.1) Gaussian noise (0,0.04) Mixed noise (0.1) and (0,0.1) PSNR /dB SA /% PSNR /dB SA /% PSNR /dB SA /% PCM 16.3468 80.90 14.4989 77.82 16.3637 81.20 PFCM 16.3578 80.95 14.3299 77.69 16.9145 80.10 FLICM 21.3922 94.32 21.3847 94.95 21.7668 95.80 KFCM_S1 19.5020 89.37 17.4382 86.20 19.4648 93.59 KFCM_S2 21.8313 95.26 15.9287 79.35 21.5821 95.83 KGFCM_S1 15.3854 80.09 14.1942 78.10 14.9007 78.39 KGFCM_S2 21.3392 95.12 14.0853 78.95 21.3243 95.37 Our proposed 22.5352 95.89 23.1778 96.70 22.6325 96.35
Table 3. PSNR of segmentation results by differentalgorithms (Cameraman image)unit: dB
View tableTable 3. PSNR of segmentation results by differentalgorithms (Cameraman image)unit: dB
Algorithm Salt and pepper noise (0.2) Gaussian noise (0,0.08) Mixed noise (0.05) and (0,0.05) PCM 13.6961 11.9940 12.7491 PFCM 13.8442 11.8895 12.7477 FLICM 18.4335 18.0542 18.3297 KFCM_S1 15.5389 15.0475 15.2110 KFCM_S2 14.9181 14.3703 14.6770 KGFCM_S1 17.8045 17.0568 17.6063 KGFCM_S2 18.0942 16.0394 16.8166 Our proposed 18.5441 18.5010 18.5122
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Jiulun Fan, Yang Yan, Haiyan Yu, Dan Liang, Mengfei Gao. Image Segmentation Algorithm Combining Non-Local Information Interception Kernel Possibilistic Clustering[J]. Laser & Optoelectronics Progress, 2020, 57(18): 181010
Paper Information
Category: Image Processing
Received: Dec. 2, 2019
Accepted: Jan. 16, 2020
Published Online: Sep. 2, 2020
The Author Email: Fan Jiulun (jiulunf@xupt.edu.cn), Yan Yang (379921170@qq.com), Yu Haiyan (yuhaiyan2010@126.com)
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