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An Algorithm of Texture Classification Based on Feature Extraction and BP Neural Network |
Tongyan Liu, Zongguo Liu, Guoqing Wu |
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Abstract In this paper, we apply the texture conception of natural language
to the texture classification, and classify the natural texture into
ten classes. Basing on the above, we found a small image library of
natural texture. In the thesis, we discuss the common means of
texture feature extraction, and bring forward a specific algorithm
for Gabor filter. In order to validity of the feature extraction, we
adopt the BP network as the classifier to carry out our experiments,
which bring us satisfying results.
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DOI:10.12733/jics20105651 |
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