Parametric Analysis of Texture Classification Using Modified Weighted Probabilistic Neural Network (MWPNN)

Author:

Subba Rao M.,Eswara Reddy B.

Publisher

Springer International Publishing

Reference32 articles.

1. Charladies, D., Kasparis, T.: Wavelet-based Rotational invariant roughness features for Texture classification and segmentation. IEEE Trans. Image Process. 11, 825–837 (2002)

2. Givliano, V.E.: How we find patterns. Int. J. Sci. Technol. 42–49 (1967)

3. Sorwar, G., Abraham, A.: DCT based texture classification using a soft computing approach. Malaysian J. Comput. Sci. 17(1), 13–23 (2004)

4. https://www.diesel-ebooks.com/item/9780470845134/Webb-Andrew-R.-Statistical-Pattern-Recognition/1.html

5. Subba Rao, M., Eswar Reddy, B.: An overview of pattern recognition methods on texture classification. CiiT Int. J. Artif. Intell. Syst. Machine Learn. (2011). Print: ISSN 0974 – 9667. Online: ISSN 0974 – 9543

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