Advanced algorithms of image processing and pattern recognition are adopted to improve detection rate and classification rate of defects.
同时，系统采用了先进的图像处理和模式识别算法，以提高系统对缺陷的检出率和识别率。
The infrared pattern recognition system consists of image preprocessing, feature extraction and pattern classification.
红外图像模式识别系统，由图像预处理、特征提取及模式分类组成。
In this paper we look into the application of moment function and neural network in feature extraction and pattern classification of image recognition respectively.
本文主要研究了矩函数和神经网络分别在图像识别的特征提取和模式分类方面的应用。
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