Acta Optica Sinica, Volume. 19, Issue 10, 1406(1999)

Texture Classification Based on Fractal Dimension and BP Neural Network

[in Chinese] and [in Chinese]
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    References(9)

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    [2] [2] Pentland A P. Fractal based description of natural scenes. IEEE Trans. Pattern Anal. & Machine Intell. 1984, 6(6):661~674

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    [4] [4] Wen C Y, Acharya R et al.. Self-similar texture characterization using a Fourier-domain maximum likelihood estimation method. Pattern Recognition Letters, 1998, 19(8):735~739

    [5] [5] Sarker N, Chaudhuri B B. An efficient approach to estimate fractal dimension of texture image. Pattern Recognition, 1992, 25(9):1035~1041

    [6] [6] Sarker N, Chaudhuri B B. An efficient differential box-counting approach to compute fractal dimension of image. IEEE Trans. on System Man and Cybernetics, 1994, 24(1):115~120

    [7] [7] Chaudhuri B B, Sarker N. Texture segmentation using fractal dimension. IEEE Trans. on Pattern Analysis and Machine Intelligence, 1995, 17(1):72~77

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    [9] [9] Liu Hong, Mo Yulong. Texture analysis and classification based on tree-structured wavelet transform and neural network. Proceedings of IEEE International Conference on Neural Networks and Signal Processing, 1995, 2:1022~1025

    CLP Journals

    [1] Wang Shutao, Wang Xinglong, Chen Dongying, Wei Meng, Wang Zhifang. Application of GA-BP Neural Network in Detection of Trace Phosphate[J]. Chinese Journal of Lasers, 2015, 42(5): 515001

    [2] Songshan Xiao, Yongxing Wu, "Rotation-invariant texture analysis using Radon and Fourier transforms," Chin. Opt. Lett. 5, 513 (2007)

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    [in Chinese], [in Chinese]. Texture Classification Based on Fractal Dimension and BP Neural Network[J]. Acta Optica Sinica, 1999, 19(10): 1406

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    Paper Information

    Category: Fourier optics and signal processing

    Received: Dec. 29, 1998

    Accepted: --

    Published Online: Aug. 9, 2006

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