Wood defects classification using a SQM/FFP approach with minimum dimension feature vector

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

Volumn 3973 LNCS, Issue , 2006, Pages 1105-1110

  Chacon, Mario I ^a   Alonso, Graciela Ramirez ^a  

^a Chihuahua Institute of Technology   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); FUZZY SETS; NEURAL NETWORKS; VECTORS;

DIMENSION FEATURE VECTOR; SELF-ORGANIZING NEURAL NETWORK; SUPERVISED ARTIFICIAL NEURAL;

DEFECTS;

EID: 33745914220     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11760191_161     Document Type: Conference Paper

References (10)

1. Lampinen, J., Smolander, S.: Self Organizing Feature Extraction in Recognition of Wood Surface Defects and Color Images. International Journal of Pattern Recognition and Artificial intelligence (10) (2) (1996.) 97-113
2. Silven, O., Niskanen, M., Kauppinen, H.: Wood Inspection with Non-supervised Clustering. Machine Vision and application (13) (2003) 275-285
3. Lampinen, J., Smolander, S., Korhonen, M.: Wood Surface Inspection System Based on Generic Visual Features. International Conference on Artificial Neural Networks ICANN'95 Paris (1995)
4. Lampinen, J., Smolander, S.: Wood Defect Recognition: A Comparative Study. Proc. of workshop on Machine Vision in Advanced Production Oulu, Finland (1994) 2-6
5. Kauppinen, H., Silven, O., Piirainen, T.: Self Organizing Map Based User Interface for Visual Surface Inspection. Proc. 11th Scandinavian Conference on Image Analysis, Kangerlussuaq, Greenland (1999) 801-808
6. G-SOM tool, University of Oulu Department of Electrical Engineering. URL: http://www.oulu.fi/research/imag/gsom/
7. Liu, C., Wechsler H.: Independent Component Analysis of Gabor Features for Face Recognition. IEEE Trans. Neural Networks, (14) (4) (2003) 919-928
8. Kohonen, T.: Self Organizing Maps. 2nd edn. Springer Series in Information Sciences (1995)
9. Kim, D. S., Huntsberger, T.L.: Self-organizing Neural Networks for Unsupervised Pattern Recognition. In: Proceedings of Tenth Annual International Phoenix Conference on Computers and Communications, March 27-30 (1991) 39-45
10. Egmont, M., Ridder, D.,Handles, H.: Image Processing with Neural Networks- a review. Pattern Recognition (35) (10) (2002) 2279-2301