Study of image retrieval and classification based on adaptive features using genetic algorithm feature selection

Expert Systems with Applications

Volumn 41, Issue 15, 2014, Pages 6611-6621

  Lin, Chuen Horng ^a   Chen, Huan Yu ^b   Wu, Yu Shung ^a  

^a NATIONAL TAICHUNG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b NATIONAL CHUNG HSING UNIVERSITY   (Taiwan)

Author keywords

Color feature; Feature selection; Genetic algorithms; Support vector machine; Texture features

Indexed keywords

ALGORITHMS; FEATURE EXTRACTION; GENETIC ALGORITHMS; GRAPHIC METHODS; IMAGE CLASSIFICATION; SUPPORT VECTOR MACHINES; TEXTURES;

ADAPTIVE COLOR HISTOGRAM; CLASSIFICATION PERFORMANCE; CLASSIFICATION SYSTEM; CO-OCCURRENCE-MATRIX; COLOR FEATURES; IMAGE RETRIEVAL SYSTEMS; SEQUENTIAL FORWARD SELECTION; TEXTURE FEATURES;

IMAGE RETRIEVAL;

EID: 84902664314     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2014.04.033     Document Type: Article

References (27)

1. R. Brnuelli, and O. Mich Histograms analysis for image retrieval Pattern Recognition 34 8 2001 1625 1637 (Pubitemid 32541343)
2. Chang, C. C., & Lin, C. J. LIBSVM: a library for support vector machines, 2001. Software available at: < http://www.csie.ntu.edu.tw/~cjlin/ libsvm >.
3. Y.D. Chun, S.Y. Seo, and N.C. Kim Image retrieval using BDIP and BVLC moments IEEE Transactions on Circuits and Systems for Video Technology 13 9 2003 951 957
4. C. Cortes, and V. Vapnik Support vector networks Machine Learning 1995 273 297
5. Gong, Y., Zhang, H., Chuant, H., & Skauuchi, M. (1994). An image database system with contents capturing and fast image indexing abilities. In Proceedings of IEEE international conferences on multimedia computing and systems (pp. 121-130). Boston, Massachusetts, USA.
6. Gu, Y., Panda, B., & Haque, K. A. (2001). Design and analysis of data structures for querying image databases. In ACM symposium on applied computing (pp. 236-241). Las Vegas, Nevada, USA.
7. A. Hafiane, and B. Zavidovique Local relational string and mutual matching for image retrieval Information Processing and Management 44 3 May 2008 1201 1213 (Pubitemid 351375323)
8. R.M. Haralick, B. Shanmugam, and I. Dinstein Texture features for image classification IEEE Transactions on Systems, Man, and Cybernetics 3 6 November 1973 610 621
9. P.W. Huang, and S.K. Dai Image retrieval by texture similarity Pattern Recognition 36 3 2003 665 679
10. T. Hurtut, Y. Gousseau, and F. Schmitt Adaptive image retrieval based on the spatial organization of colors Computer Vision and Image Understanding 112 2 November 2008 101 113
11. N. Jhanwar, S. Chaudhurib, G. Seetharamanc, and B. Zavidovique Content based image retrieval using motif co-occurrence matrix Image and Vision Computing 22 14 2004 1211 1220
12. B.C. Ko, and H. Byun FRIP: A region-based image retrieval tool using automatic image segmentation and stepwise Boolean AND matching IEEE Transactions on Multimedia 7 1 February 2005 105 113 (Pubitemid 40178374)
13. S. Liao, M.W.K. Law, and A.C.S. Chung Dominant local binary patterns for texture classification IEEE Transactions on Image Processing 18 5 2009 1107 1118
14. C.H. Lin, Y.K. Chan, K.H. Chen, D.C. Huang, and Y.J. Chang Fast color-spatial feature based image retrieval methods Expert Systems with Applications 38 9 2011 11412 11420
15. C.H. Lin, R.T. Chen, and Y.K. Chan A smart content-based image retrieval system based on color and texture feature Image and Vision Computing 27 6 May 2009 658 665
16. C.H. Lin, and W.C. Lin Image retrieval system based on adaptive color histogram and texture features Computer Journal 54 7 2010 1136 1147
17. G.H. Liu, and J.Y. Yang Image retrieval based on the texton co-occurrence matrix Pattern Recognition 41 12 2008 3521 3527
18. B.M. Mehtre, M. Kankanhalli, and W.F. Lee Shape measures for content-based image retrieval: A comparison Information Processing & Management 33 3 1997 319 337 (Pubitemid 127400488)
19. H.A. Moghaddam, T.T. Khajoie, A.H. Rouhi, and M.S. Tarzjan Wavelet correlogram: A new approach for image indexing and retrieval Pattern Recognition 38 12 2005 2506 2518 (Pubitemid 41336719)
20. P.M. Narendra, and K. Fukunaga A branch and bound algorithm for feature subset selection IEEE Transaction Computers 26 9 1977 917 922 (Pubitemid 8550870)
21. T. Ojala, M. Pietikainen, and T. Maenpaa Multiresolution gray-scale and rotation invariant texture classification with local binary patterns IEEE Transactions on Pattern Analysis and Machine Intelligence 24 7 2002 971 987 (Pubitemid 34835471)
22. Pudil, P., Ferri, F. J., Novovicova, J., & Kittler, J. (1994). Floating search methods for feature selection with nonmonotonic criterion functions. In Proceedings of the IAPR international conference on pattern recognition (Vol. 2, No. 9-13, pp. 279-283).
23. Y. Rui, and T.S. Huang Image retrieval: Current techniques, promising directions, and open issues Journal of Visual Communication and Image Representation 10 October 1999 39 62
24. W. Siedlecki, and J. Sklansky A note on genetic algorithms for large-scale feature selection Pattern Recognition Letters 10 5 November 1989 335 347
25. M.J. Swain, and D.H. Ballard Color indexing International Journal of Computer Vision 7 1 June 1991 11 32
26. C.H. Wei, Y. Li, W.Y. Chau, and C.T. Li Trademark image retrieval using synthetic features for describing global shape and interior structure Pattern Recognition 42 3 2009 386 394
27. A.W. Whitney A direct method of nonparametric measurement selection IEEE Transactions on Computers C-20 1971 1100 1103