메뉴 건너뛰기




Volumn 34, Issue 2 B, 2009, Pages 491-502

Color texture classification using wavelet transform and neural network ensembles

Author keywords

Energy correlation; Entropy; Feature extraction; Neural network ensembles; Texture classification; Wavelet decomposition

Indexed keywords


EID: 78650557058     PISSN: 2193567X     EISSN: 21914281     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (20)

References (21)
  • 1
    • 0017904998 scopus 로고
    • Image Segmentation and Feature Extraction
    • J. Sklansky, "Image Segmentation and Feature Extraction", IEEE Trans. System Man Cybernat., 8(1978), pp. 237-247.
    • (1978) IEEE Trans. System Man Cybernat , vol.8 , pp. 237-247
    • Sklansky, J.1
  • 2
    • 0033103742 scopus 로고    scopus 로고
    • Wavelet Correlation Signatures for Color Texture Characterization
    • G. Van de Wouwer, P. Scheunders, S. Livens, and D. Van Dyck, "Wavelet Correlation Signatures for Color Texture Characterization", Pattern Recognition, 32(3)(1999), pp. 443-451.
    • (1999) Pattern Recognition , vol.32 , Issue.3 , pp. 443-451
    • Van de Wouwer, G.1    Scheunders, P.2    Livens, S.3    Van Dyck, D.4
  • 4
    • 44949269634 scopus 로고
    • A Review of Recent Texture Segmentation and Feature Extraction Techniques
    • T. R. Reed and J. M. H. du Buf, "A Review of Recent Texture Segmentation and Feature Extraction Techniques", CVGIP: Image Understanding, 57(3)(1993), pp. 359-372.
    • (1993) CVGIP: Image Understanding , vol.57 , Issue.3 , pp. 359-372
    • Reed, T.R.1    du Buf, J.M.H.2
  • 5
    • 33750428171 scopus 로고    scopus 로고
    • Wavelet Packet Neural Networks for Texture Classification
    • A. Sengur, I. Turkoglu, and M. C. Ince, "Wavelet Packet Neural Networks for Texture Classification", Expert Systems With Applications, 32(2)(2007), pp. 527-533.
    • (2007) Expert Systems With Applications , vol.32 , Issue.2 , pp. 527-533
    • Sengur, A.1    Turkoglu, I.2    Ince, M.C.3
  • 6
    • 37349082291 scopus 로고    scopus 로고
    • Wavelet Transform and Adaptive Neuro-Fuzzy Inference System for Color Texture Classification
    • A. Sengur, "Wavelet Transform and Adaptive Neuro-Fuzzy Inference System for Color Texture Classification", Expert Systems With Applications, 34(3)(2008), pp. 2120-2128
    • (2008) Expert Systems With Applications , vol.34 , Issue.3 , pp. 2120-2128
    • Sengur, A.1
  • 7
    • 0027578981 scopus 로고
    • On the Classification of Image Regions by Color Texture and Shape
    • T. Caelli and D. Reye, "On the Classification of Image Regions by Color Texture and Shape", Pattern Recognition, 26(4)(1993), pp. 461-470.
    • (1993) Pattern Recognition , vol.26 , Issue.4 , pp. 461-470
    • Caelli, T.1    Reye, D.2
  • 10
    • 33747727601 scopus 로고    scopus 로고
    • Wavelet Based Statistical Signal processing Using Hidden Markov Model
    • M. S. Crouse, R. D. Nowak, and R. G. Baraniuk, "Wavelet Based Statistical Signal processing Using Hidden Markov Model", IEEE Trans. Signal Process, 46(4)(1998), pp. 886-902.
    • (1998) IEEE Trans. Signal Process , vol.46 , Issue.4 , pp. 886-902
    • Crouse, M.S.1    Nowak, R.D.2    Baraniuk, R.G.3
  • 11
    • 19944424141 scopus 로고    scopus 로고
    • Color Texture Analysis Using the Wavelet-Based Hidden Markov Model
    • X. Qing, Y. Jie, and D. Siyi, "Color Texture Analysis Using the Wavelet-Based Hidden Markov Model", Patt. Rec. Lett., 26(11)(2005), pp. 1710-1719.
    • (2005) Patt. Rec. Lett , vol.26 , Issue.11 , pp. 1710-1719
    • Qing, X.1    Jie, Y.2    Siyi, D.3
  • 12
    • 84990575058 scopus 로고
    • Orthogonal Bases of Compactly Supported Wavelets
    • I. Daubechies, "Orthogonal Bases of Compactly Supported Wavelets", Comm. Pure. Appl. Math, 41(1988), pp. 909-996.
    • (1988) Comm. Pure. Appl. Math , vol.41 , pp. 909-996
    • Daubechies, I.1
  • 14
    • 38649134447 scopus 로고    scopus 로고
    • An Expert System Based on Wavelet Decomposition and Neural Network for Modeling Chua's Circuit
    • D. Hanbay, I. Turkoglu, and Y. ve Demir, "An Expert System Based on Wavelet Decomposition and Neural Network for Modeling Chua's Circuit", Expert Systems With Applications, 34(4) (2008), pp. 2278-2283.
    • (2008) Expert Systems With Applications , vol.34 , Issue.4 , pp. 2278-2283
    • Hanbay, D.1    Turkoglu, I.2    ve Demir, Y.3
  • 15
    • 54849426745 scopus 로고    scopus 로고
    • Wavelet Oscillator Neural Networks for Texture Segmentation
    • A. Sengur, I. Türkoǧlu, and M. C. ve Ince, "Wavelet Oscillator Neural Networks for Texture Segmentation", Neural Network World, 4(2008), pp. 275-289.
    • (2008) Neural Network World , vol.4 , pp. 275-289
    • Sengur, A.1    Türkoǧlu, I.2    ve Ince, M.C.3
  • 16
    • 42049117782 scopus 로고    scopus 로고
    • Boosting Recombined Weak Classifiers
    • J. J. Rodríguez and J. Maudes, "Boosting Recombined Weak Classifiers", Pat. Rec. Let., 29(2008), pp. 1049-1059.
    • (2008) Pat. Rec. Let , vol.29 , pp. 1049-1059
    • Rodríguez, J.J.1    Maudes, J.2
  • 17
    • 33846069758 scopus 로고    scopus 로고
    • Ensemblator: An Ensemble of Classifiers for Reliable Classification of Biological Data
    • L. Nanni and A. Lumini, "Ensemblator: An Ensemble of Classifiers for Reliable Classification of Biological Data", Pat. Rec. Let., 28(2007), pp. 622-630.
    • (2007) Pat. Rec. Let , vol.28 , pp. 622-630
    • Nanni, L.1    Lumini, A.2
  • 18
    • 0030211964 scopus 로고    scopus 로고
    • Bagging Predictors
    • L. Breiman, "Bagging Predictors", Machine Learning, 24(1996), pp. 123-140.
    • (1996) Machine Learning , vol.24 , pp. 123-140
    • Breiman, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.