Rock image classification based on k-nearest neighbour voting

IEE Proceedings: Vision, Image and Signal Processing

Volumn 153, Issue 4, 2006, Pages 475-482

  Lepisto L ^a   Kunttu, I ^a   Visa, A ^a  

^a TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

COLOR IMAGE PROCESSING; DECISION THEORY; MATHEMATICAL MODELS; NUMBER THEORY; TEXTURES; VECTORS;

IMAGE CLASSIFICATION; K-NEAREST NEIGHBOUR VOTING; NON-HOMOGENOUS; PLURALITY VOTING;

IMAGE ANALYSIS;

EID: 33747139412     PISSN: 1350245X     EISSN: None     Source Type: Journal    
DOI: 10.1049/ip-vis:20050315     Document Type: Article

References (25)

1. Autio, J., Lepistö, L., and Visa, A.: ' Image analysis and data mining in rock material research ', Materia, 2004, p. 36-40
2. Lepistö, L., Kunttu, I., and Visa, A.: ' Rock image classification using color features in Gabor space ', J. Electron. Imag, 2005, 14, (4), p. 40503/1-3
3. Visa, A., and Iivarinen, J.: ' Evolution and evaluation of a trainable cloud classifier ', IEEE Trans. Geosci. Remote Sens., 1997, 35, (5), p. 1307-1315 0196-2892
4. Kittler, J., Hatef, M., Duin, R.P.W., and Matas, J.: ' On combining classifiers ', IEEE Trans. Pattern Anal. Mach. Intell., 1998, 20, (3), p. 226-239 10.1109/34.667881 0162-8828
5. Alkoot, F.M., and Kittler, J.: ' Experimental evaluation of expert fusion strategies ', Pattern Recognit. Lett., 1999, 20, p. 1361-1369 10.1016/S0167-8655(99)00107-5 0167-8655
6. Kuncheva, L.I.: ' A theoretical study on six classifier fusion strategies ', IEEE Trans. Pattern Anal. Mach. Intell., 2002, 24, (2), p. 281-286 10.1109/34.982906 0162-8828
7. Duin, R.P.W.: ' The combining classifier: to train or not to train ', Proc. 16th Int. Conf. on Pattern Recognition, 2002, 2, p. 765-770
8. Lepistö, L., Kunttu, I., Autio, J., and Visa, A.: ' Classification method for colored natural textures using Gabor filtering ', Proc. 12th Int. Conf. on Image Analysis Processing, 2003, p. 397-401
9. Duda, R.O., Hart, P.E., and Stork, D.G.: ' Pattern classification ', 2nd (John Wiley & Sons, New York, 2001)
10. Lepistö, L., Kunttu, I., and Visa, A.: ' Color-based classification of natural rock images using classifier combinations ', Proc. 14th Scandinavian Conf. on Image Analysis, Joensuu, Finland, 2005, LNCS 3540, p. 901-909
11. Lepistö, L., Kunttu, I., Autio, J., and Visa, A.: ' Classification of non-homogenous texture images by combining classifiers ', Proc. IEEE Int. Conf. on Image Processing, Barcelona, Spain, 2003, 1, p. 981-984
12. Lepistö, L., Kunttu, I., Autio, J., Rauhamaa, J., and Visa, A.: ' Classification of non-homogenous images using classification probability vector ', Proc. IEEE Int. Conf. on Image Processing, Genova, Italy, 2005, 1, p. 1173-1176
13. Domeniconi, C., and Yan, B.: ' Nearest neighbor ensemble ', Proc. 17th Int. Conf. on Pattern Recognition, 2004
14. Barandela, R., Sánchez, J.S., and Valdovinos, R.M.: ' New applications of ensembles of classifiers ', Pattern Anal. Appl., 2003, 6, p. 245-256 10.1007/s10044-003-0192-z 1433-7541
15. Breiman, L.: ' Bagging predictors ', Mach. Learn., 1996, 26, (2), p. 123-140 0885-6125
16. Freund, Y., and Shaphire, R.E.: ' A decision-theoretic generalization of on-line learning and an application to boosting ', J. Comput. Syst. Sci., 1995, 55, (1), p. 119-139 10.1006/jcss.1997.1504 0022-0000
17. Xu, L., Krzyzak, A., and Suen, C.Y.: ' Methods for combining multiple classifiers and their applications to handwriting recognition ', IEEE Trans. Syst. Man Cybern., 1992, 22, (3), p. 418-435 10.1109/21.155943 0018-9472
18. Ho, T.K., Hull, J.J., and Srirari, S.N.: ' Decision combination in multiple classifier systems ', IEEE Trans. Pattern Anal. Mach. Intell., 1994, 16, (1), p. 66-75 10.1109/34.273716 0162-8828
19. Lam, L., and Suen, C.Y.: ' Application of majority voting to pattern recognition: an analysis of the behavior and performance ', IEEE Trans. Syst. Man Cybern. A, 1997, 27, (5), p. 553-567 1083-4427
20. Lin, X., Yacoub, S., Burns, J., and Simske, S.: ' Performance analysis of pattern classifier combination by plurality voting ', Pattern Recognit. Lett., 2003, 24, p. 1959-1969 10.1016/S0167-8655(03)00035-7 0167-8655
21. Bryll, R., Gutirrez-Osuna, R., and Quek, F.: ' Attribute bagging: improving accuracy of classifiers ensembles by using random feature subsets ', Pattern Recognit., 2003, 36, p. 1291-1302 10.1016/S0031-3203(02)00121-8 0031-3203
22. Guvenir, A., and Sirin, I.: ' Classification by feature partition ', Mach. Learn., 1996, 23, p. 47-67 0885-6125
23. Lepistö, L., Kunttu, I., Autio, J., and Visa, A.: ' Rock image classification using non-homogenous textures and spectral imaging ', Proc. WSCG Short Papers, 2003, p. 82-86
24. Bilmes, J.A., and Kirchhoff, K.: ' Generalized rules for combination and joint training of classifiers ', Pattern Anal. Appl., 2003, 6, p. 201-211 10.1007/s10044-002-0188-0 1433-7541
25. Gaitanis, N., Kapogianopoulos, G., and Karras, D.A.: ' Pattern classification using a generalized Hamming distance metric ', Proc. Int. Joint Conf. on Neural Networks, 1993, p. 1293-1296