纹理分类性能的定点实现Gabor滤波器递归逼近

2017 International Symposium on Signals, Circuits and Systems (ISSCS) Pub Date : 2017-07-01 DOI:10.1109/ISSCS.2017.8034943

P. Ungureanu, E. David

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引用次数: 1

摘要

我们研究了基于词袋方法的纹理分类框架中Gabor滤波器的不动点实现递归逼近的性能。所获得的结果表明，它可以获得与使用“高级”但非常昂贵的特征提取器类似的性能。

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Texture classification performances of fixed point implementation of Gabor filters recursive approximations

We investigate the performances of fixed point implementation recursive approximations of Gabor filters in a texture classification framework based on a bag of words approach. The obtained results indicate that it is possible to obtain similar performances as in the case of using “premium” but very costly feature extractors.

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来源期刊

2017 International Symposium on Signals, Circuits and Systems (ISSCS)

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