Scale Invariant Texture Classification using Fuzzy Logic

نویسندگان

  • Shailendrakumar M. Mukane
  • Sachin R. Gengaje
  • Dattatraya S. Bormane
چکیده

In this paper, scale invariant texture classification method based on Fuzzy logic is developed. It is applied for the classification of texture images. Two types of texture features are extracted one using Discrete Wavelet Transform (DWT) and other using Gray Level Co-occurrence matrix (GLCM). Two features are obtained from each sub-band of DWT coefficients up to fifth level of decomposition and eight features are extracted from GLCM of whole image and each sub-band of first level DWT decomposition. The fuzzy classifier is developed with Gaussian membership function. The performance is measured in terms of Success Rate. This study showed that the proposed method offers excellent Success Rate with WSF1, WSF3, and HWSCF6, proposed HWSCF3, HWSCF7, and HWSCF9. The results of our method outperform earlier methods available.

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تاریخ انتشار 2012