Rotary kiln flame image segmentation based on FCM and gabor wavelet based texture coarseness

Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Volumn , Issue , 2008, Pages 7615-7620

  Sun, Peng ^a   Chai, Tianyou ^a,b   Zhou, Xiao Jie ^a,b  

^a KEY LABORATORY OF INTEGRATED AUTOMATION OF PROCESS INDUSTRY   (China)

^b NORTHEASTERN UNIVERSITY   (China)

Author keywords

Defuzzification; FCM (Fuzzy C MEANS); Gabor wavelet filters; Image segmentation; Texture coarseness

Indexed keywords

CHLORINE COMPOUNDS; FLAME SPRAYING; FURNACES; FUZZY RULES; FUZZY SYSTEMS; IMAGE PROCESSING; IMAGE SEGMENTATION; INDUSTRIAL ENGINEERING; INTELLIGENT CONTROL; KILNS; MATRIX ALGEBRA; ROTARY KILNS; TEXTURES;

CLUSTER ALGORITHMS; CONTROL AND AUTOMATION; DEFUZZIFICATION; EXPERT EXPERIENCES; FCM (FUZZY C-MEANS); FCM ALGORITHMS; FLAME IMAGING; FUZZY C-MEANS; GABOR WAVELET FILTERS; GABOR WAVELETS; GREY LEVELS; MEMBERSHIP MATRIX; SEGMENTATION ALGORITHMS; TEXTURE COARSENESS; TEXTURE FILTERS; THRESHOLD SEGMENTATION;

FLAMMABILITY;

EID: 52149083726     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCICA.2008.4594586     Document Type: Conference Paper

References (14)

1. S.T. Li, Y.N. Wang, C. F. Zhang, "Neural Network Control System for Rotary Kiln Based on Features of Combustion Flame," Acta Automatica Sinica, 2002, (4):11-12.
2. H. Tan, L.Y. Li, W.N. Chen, "Burner Flame Recognition Based on Back Propagation Neural Network," Acta Automatica Sinica, 1998, 24 (5): 667 -670.
3. Z.M.Yi, Z.J. Lv, Z.M. Liu, "Flame Image Processing and Its Characteristic Extraction for Alumina Rotary Kiln," Chinese Journal of Scientific Instrument, 2006,27(8):969-972.
4. J C. Bezdek, "Pattern Recognition with Fuzzy Objective Function Algorithm," New York: Plenum Press, 1981.
5. N.A Otsu, "Threshold Selection Method from Grey-Level Histograms," IEEE Transaction System Man Cybernetic, 1979,8: 62-66.
6. J.H. Pei, W.X. Xie, "Adaptive Multi-Thresholds Image Segmentation Based on Fuzzy Restrainted Histogram FCM Clustering," Acta Enectronica Sinica, 1999, 27 (10):38-42.
7. H. Tamura, S. Mori, T. Yamawaki, "Texture Features Corresponding to Visual Perception," IEEE Transactions on Systems, Man, and Cybernetics, 1978, SMC-8(6):460-473.
8. W.J. Wu, L.Z. Ma, X.Z. Xiao, "Method of Tongue Image Segmentation Based on Luminance and Roughness Information, "Journal of System Simulation, 2006,18(s11):374-379.
9. R M. Haralick, "Statistical and Structural Approaches to Texture," Proceeding of IEEE, 1980:67(5): 786-804.
10. W.Y. Ma and B.S. Manjunath, "A Comparison of Wavelet Transform Features for Texture Image Annotation," Proceedings of IEEE International Conference on Image Processing, 1995.
11. M.Kaplan and C.-C.J.Kuo, "Texture Roughness Analysis and Synthesis via Extended Self-Similar (ESS) Model," IEEE Trans. Pattern Analysis and Machine Intelligence, 1995, 17:1043-1056.
12. D.Dunn,W.E. Higgins, "Optical Gabor Filters for Texture Segmentation," IEEE Trans on IP, 1995, 4(6):947-964.
13. T.P. Weldon, W. E. Higgens, D.Dunn, "Efficient Gabor Filter for Texture Segmentation," Pattern Recognition, 1996, 29 (12): 2005-2015.
14. R. Azencott, J. P. Wang, L.Younes, "Texture Classification Using Windowed Fourier Filters," IEEE Trans on PAMI.1997, 19(2):148-152.