Gabor filters for rotation invariant texture classification

被引:0
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作者
Porter, R
Canagarajah, N
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中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A Gabor filter based feature extraction scheme for texture classification is proposed. By using a novel set of circularly symmetric filters, rotation invariance is achieved. The scheme offers a high classification performance on textures at any orientation using both fewer features and a smaller area of analysis than most existing schemes, The performance of the scheme on noisy images is also investigated, demonstrating a high robustness to noise.
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页码:1193 / 1196
页数:4
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