I apply the 2 Gabor multichannel filtering technique to extract such features and a weighted Euclidean distance classifier to fulfil the recognition task.
这里采用了二维Gabor多通道滤波器来提取这种特征，然后使用加权欧氏距离分类器来完成识别任务。
参考来源 - 基于整体纹理分析的汉字字体识别·2,447,543篇论文数据，部分数据来源于NoteExpress
In order to implement the multi-channel filtering of the photonic crystal, the numerical calculation and theoretical analysis for the one-dimensional photonic crystal were performed.
为了实现光子晶体的多通道滤波，对设计出的一维掺杂光子晶体进行了数值计算和理论分析。
Under proper operating parameters, quite perfect multi channel filtering properties, corresponding to a perfect factor of 10 -4, can be obtained with the complex period photonic crystals.
在适当的参数条件下，可以获得非常理想的多通道滤波特性，对应的理想因子值在10 - 4以下。
In principle, this allows us to apply any standard texture recognition algorithm for the task (e. g., the multi-channel Gabor filtering technique).
原则上，我们可以采用任意一种标准的纹理识别算法(例如：多通道伽柏滤波器方法)。
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