Comparison of texture features based on Gabor filters

Comparison of texture features based on Gabor filters
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DOI:
10.1109/tip.2002.804262
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发表时间:
2002-10-01
影响因子:
10.6
通讯作者:
Kruizinga, P
Kruizinga, P
中科院分区:
计算机科学1区
文献类型:
--
作者:
Grigorescu, SE;Petkov, N;Kruizinga, P

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对基于局部功率谱的纹理特征进行了比较。这些特征在应用于局部功率谱的非线性后处理的类型上不同。以下功能被认为是:Gabor能量,复杂的时刻,光栅细胞运营商的功能。使用两种方法:Fisher准则和分类结果比较的能力,相应的运营商产生不同的特征向量聚类不同的纹理。这两种方法给出了一致的结果。光栅细胞算子给出了最好的区分和分割结果。纹理检测能力的运营商和他们的鲁棒性nontexture功能进行了比较。光栅细胞操作员是唯一一个选择性地只响应纹理,不给非纹理特征,如物体轮廓的假反应。
Texture features that are based on the local power spectrum obtained by a bank of Gabor filters are compared. The features differ in the type of nonlinear post-processing which is applied to the local power spectrum. The following features are considered: Gabor energy, complex moments, and grating cell operator features. The capability of the corresponding operators to produce distinct feature vector clusters for different textures is compared using two methods: the Fisher criterion and the classification result comparison. Both methods give consistent results. The grating cell operator gives the best discrimination and segmentation results. The texture detection capabilities of the operators and their robustness to nontexture features are also compared. The grating cell operator is the only one that selectively responds only to texture and does not give false response to nontexture features such as object contours.