实验结果表明,原点无关最近特征分类器在识别率、稳定性等方面均优于同阶的最近特征分类器。
Experimental results show that OINF classifiers are of higher recognition rate and more stable than NF classifiers.
盒维数的简单统计结果可以作为PQ神经网络分类器的输入特征量。
After simple statistics, the dimension can act as the input vector of ANN for PQ classification.
内容涉及声图像的预处理、纹理和形状特征的提取,以及分类器的设计等。
The contents in the paper include acoustic image preprocessing, feature extraction of texture and shape, and classifier design.
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