The principle of gabor filter is expounded 阐述了gabor滤波器原理。
The neural network recognizing algorithm based on multi channel gabor filter feature is presented 相应地给出了一个基于多通道gabor滤波器特征神经网络识别算法。
Iris feature extraction is based on texture analysis using multi - channel gabor - wavelet filtering 特征提取阶段,采用多方向多频率的gabor滤波器来进行图像纹理特征分析。
The multi channel gabor filter is designed based on theory and practicality , the texture features of gray image target are extracted 根据理论分析和实际需要,设计了多通道gabor滤波器,提取了灰度图像目标纹理特征。
Different fonts are regarded as different textures , then font is identified through texture analysis with multi - channel gabor filters 将不同字体的文本看作不同的纹理,使用多通道gabor滤波器的纹理分析方法识别字体。