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Volumn 3972 LNCS, Issue , 2006, Pages 355-360

Bark classification based on textural features using artificial neural networks

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; FRACTALS; IMAGE ANALYSIS; NEURAL NETWORKS;

EID: 33745925854     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11760023_52     Document Type: Conference Paper
Times cited : (13)

References (10)
  • 2
    • 78149287405 scopus 로고    scopus 로고
    • Plant species recognition based on bark patterns using novel gabor filter banks
    • Nanjing China
    • Chi, Z., Li, H. Q., and 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
    • (2003) IEEE Int. Conf. Neural Networks & Signal Processing , pp. 1035-1038
    • Chi, Z.1    Li, H.Q.2    Wang, C.3
  • 4
    • 0024016411 scopus 로고
    • The analysis of natural textures using run length features
    • Loh, H. H., Leu, J. G., Luo, R. C.: The Analysis of Natural Textures Using Run Length Features. IEEE Trans. Industrial Electronics 35(2) (1988) 323-328
    • (1988) IEEE Trans. Industrial Electronics , vol.35 , Issue.2 , pp. 323-328
    • Loh, H.H.1    Leu, J.G.2    Luo, R.C.3
  • 5
    • 0031647575 scopus 로고    scopus 로고
    • A fast method to determine co-occurrence texture features
    • David, Clausi, A., Jernigan, M. Ed.
    • David, Clausi, A., Jernigan, M. Ed.: A Fast Method to Determine Co-Occurrence Texture Features, IEEE Trans. Geoscience and Remote Sensing 36(1) (1998) 298-300
    • (1998) IEEE Trans. Geoscience and Remote Sensing , vol.36 , Issue.1 , pp. 298-300
  • 6
    • 0033305855 scopus 로고    scopus 로고
    • Can.: Fractal dimension based features are useful descriptors of leaf complexity and shape
    • Wojciech, Borkowski, Can.: Fractal Dimension Based Features Are Useful Descriptors of Leaf Complexity and Shape. J. For. Res. /Rev. can. rech. for. 29(9) (1999) 1301-1310
    • (1999) J. For. Res. /Rev. Can. Rech. For , vol.29 , Issue.9 , pp. 1301-1310
    • Wojciech, B.1
  • 7
    • 0032663328 scopus 로고    scopus 로고
    • Filtering for texture classification: A comparative study
    • Randen, T., Husky, J.H.; Filtering for Texture Classification: A Comparative Study. IEEE Trans. Pattern Anal. Mach. Intel. 21 (4) (1999) 291-310
    • (1999) IEEE Trans. Pattern Anal. Mach. Intel. , vol.21 , Issue.4 , pp. 291-310
    • Randen, T.1    Husky, J.H.2
  • 8
    • 21244464429 scopus 로고    scopus 로고
    • Design-based texture feature fusion using gabor filters and co-occurrence probabilities
    • David, Clausi, A., Huang, D.: Design-Based Texture Feature Fusion Using Gabor Filters and Co-Occurrence Probabilities. IEEE Trans. Image Processing 14(7) (2005) 925-936
    • (2005) IEEE Trans. Image Processing , vol.14 , Issue.7 , pp. 925-936
    • David, C.A.1    Huang, D.2
  • 9
    • 0032712063 scopus 로고    scopus 로고
    • Linear and nonlinear feedforward neural network classifiers: A comprehensive understanding
    • Huang, D.S., Ma, S.D.: Linear and Nonlinear Feedforward Neural Network Classifiers: A Comprehensive Understanding. Journal of Intelligent Systems 9(1) (1999) 1-38
    • (1999) Journal of Intelligent Systems , vol.9 , Issue.1 , pp. 1-38
    • Huang, D.S.1    Ma, S.D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.