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A modified Gabor function for content based image retrieval

机译:改进的Gabor函数用于基于内容的图像检索

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摘要

As the Gabor filters are direction dependent, the Gabor transform of an image is to be performed for all chosen directions. Thus the set of angles used in Gabor feature extraction does affect the results in applications such as Content Based Image Retrieval (CBIR). In the present work, we modify the Gabor filter suitably in such a way that the modified function besides being free from the choice of angles is as effective as the Gabor function itself. Additionally, our method of extraction of features is invariant to rotation in images. Our simulation results demonstrate that the modified Gabor based method being useful for CBIR shows better retrieval performance than the standard Gabor based method.
机译:由于Gabor滤波器与方向有关,因此将对所有选定方向执行图像的Gabor变换。因此,Gabor特征提取中使用的角度集确实会影响诸如基于内容的图像检索(CBIR)之类的应用程序中的结果。在当前工作中,我们对Gabor滤波器进行了适当的修改,以使修改后的函数除了不受角度选择的影响外,还与Gabor函数本身一样有效。此外,我们提取特征的方法对于图像的旋转是不变的。我们的仿真结果表明,改进的基于Gabor的方法可用于CBIR,与基于标准Gabor的方法相比,具有更好的检索性能。

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