Bark classification based on Gabor filter features using RBPNN neural network

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4233 LNCS - II, Issue , 2006, Pages 80-87

  Huang, Zhi Kai ^a,b   Huang, De Shuang ^a   Du, Ji Xiang ^a,b   Quan, Zhong Hua ^a,b   Guo, Shen Bo ^a,b  

^a INSTITUTE OF INTELLIGENT MACHINES   (China)

^b UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; IMAGE PROCESSING; NEURAL NETWORKS; PROBABILISTIC LOGICS; VECTORS; WAVE FILTERS;

GABOR FILTER; RADIAL BASIS FUNCTION NEURAL NETWORK (RBFNN); RECOGNITION RATE;

CLASSIFICATION (OF INFORMATION);

EID: 33750739217     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11893257_9     Document Type: Conference Paper

References (8)

1. David, A. Cluusi, Huang, D..: Design-Based Texture Feature Fusion Using Gabor Filters and Co-Occurrence Probabilities, IEEE Transactions on Image Processing, Vol. 14, No. 7, July (2005) 925-936
2. Zheru Chi, Li H. Q., Wang C..: Plant Species Recognition Based on Bark Patterns Using Novel Gabor Filter Banks IEEE Int. Conf. Neural Networks & Signal Processing Nanjing. China, (2003) 1035-1038
3. Wan, Y. Y., Du, J. X., Huang, D. S., Chi, Z. R.: Bark Texture Feature Extraction Based on Statistical Texture Analysis, International Symposium on Intelligent Multimedia, Video and Speech Processing, Hong Kong, (2004) 482-185
4. Manjunath, B. S., Ma, W.Y.: Texture features for Browsing and Retrieval of Image Data IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI - Special issue on Digital Libraries), vol. 18, no. 8, Aug(1996) 837-842
5. Huang, D.S.: Radial Basis Probabilistic Neural Networks: Model and Application, International Journal of Pattern Recognition and Artificial Intelligence, 13(7), (1999) 1083-1101
6. Gamm, J. B. D. L. Yu.: Selecting Radial Basis Function Network Centers with Recursive Orthogonal Least Squares Training, IEEE Trans. Neural Network, vol. 11, No. 2, Mar. 2000
7. Zhao, W.B, Huang, D.S.: Application of Recursive Orthogonal Least Squares Algorithm to the Structure Optimization of Radial Basis Probabilistic Neural Networks, The 6th International Conference on Signal Processing (ICSP02), Beijing, China, (2002) 1211-1214
8. Huang, D. S.: Systematic Theory of Neural Networks for Pattern Recognition. Publishing House of Electronic Industry of China, Beijing, (1996)