Fubin Wang, Rui Wang, Chen Wu. Classification of Sintered Flame Images Based on Improved Clustering Algorithm[J]. Laser & Optoelectronics Progress, 2022, 59(2): 0228003
- Laser & Optoelectronics Progress
- Vol. 59, Issue 2, 0228003 (2022)
Fig. 1. The H channel controls the range of different color values
Fig. 2. Flowchart of the proposed algorithm
Fig. 3. Comparison of segmentation effects. (a) Original sintering images; (b) K=2; (c) K=3; (d) K=4
Fig. 4. Comparison of color extraction effect. (a) Image segmented by K-mean algorithm; (b) red fire area after color extraction
Fig. 5. Geometric feature data. (a) Area; (b) long axis; (c) minor axis; (d) eccentricity; (e) Euler number; (f) aspect ratio
Fig. 6. Classification results of FCM algorithm. (a) Before denoising; (b) after denoising
Fig. 7. Comparison of number of iterations. (a) K-FCM; (b) conventional FCM
Fig. 8. Comparison of classification membership. (a) K-FCM; (b) conventional FCM
Fig. 9. Comparison of clustering results. (a) K-FCM; (b) conventional FCM
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Table 1. Comparison of classification accuracy
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Table 2. Comparison of classification accuracy of the three classification results
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