Evaluation of the effects of Gabor filter parameters on texture classification
Evaluation of the effects of Gabor filter parameters on texture classification
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DOI：
10.1016/j.patcog.2007.04.023
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发表时间：
2007-12-01
影响因子：
8
通讯作者：
Fernandez, Antonio
中科院分区：
文献类型：
--
作者：
Bianconi, Francesco;Fernandez, Antonio
Gabor 滤波是一种广泛采用的纹理分析技术。 Gabor 滤波器组的设计是一项复杂的任务。特别是在纹理分类中，Gabor 滤波器表现出对一定数量参数的强烈依赖性，这些参数的值可能会显着影响分类过程的结果。文献中记载了基于数学和生理学考虑的许多不同的 Gabor 滤波器设计方法。然而，每个参数的影响以及它们相互作用的影响仍不清楚。这项工作的总体目标是研究 Gabor 滤波器参数对纹理分类的影响。已经开展了广泛的实验活动。实验活动的结果表明，正确分类的百分比很大程度上依赖于 Gabor 滤波器的平滑参数。相反，用于定义滤波器组的频率和方向的数量与正确分类的百分比之间的相关性似乎很差。 (c) 2007 年模式识别协会。由爱思唯尔有限公司出版。保留所有权利。
Gabor filtering is a widely adopted technique for texture analysis. The design of a Gabor filter bank is a complex task. In texture classification, in particular, Gabor filters show a strong dependence on a certain number of parameters, the values of which may significantly affect the outcome of the classification procedures. Many different approaches to Gabor filter design, based on mathematical and physiological consideration, are documented in literature. However, the effect of each parameter, as well as the effects of their interaction, remain unclear. The overall aim of this work is to investigate the effects of Gabor filter parameters on texture classification. An extensive experimental campaign has been conducted. The outcomes of the experimental activity show a significant dependence of the percentage of correct classification on the smoothing parameter of the Gabor filters. On the contrary, the correlation between the number of frequencies and orientations used to define a filter bank and the percentage of correct classification appeared to be poor. (c) 2007 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.