论述神经网络技术在图像数据层、特征层、决策层融合技术及融合前处理中应用的若干新进展；
Meanwhile the development of neural networks in the image fusion at pixel, feature and decision levels and other pre-fusion applications are dissertated.
其融合系统分数据层、特征层和决策层融合。
Its fusion system includes data layer, feature layer, and strategy layer fusion.
图像融合分为三个层次：像素层、特征层和决策层。
The research in this paper is executed mainly at pixie level and feature level image fusion.
笔者论述了现代信息融合技术应用于中医舌象分析的可行性，同时给出特征层与决策层融合应用的初步方案和部分实验结果。
Several different fusion means of tongue images in the decision layer and the feature layer are described. Meantime, a part of the results is also given.
分别采用特征层融合和决策层融合的策略对手部特征与表情特征进行融合，并对实验结果进行了分析。
Using the strategy of feature-level fusion and decision-level fusion against the fusion of hands characteristics and expression characteristics, and analyzing the experimental results.
分别采用特征层融合和决策层融合的策略对手部特征与表情特征进行融合，并对实验结果进行了分析。
Using the strategy of feature-level fusion and decision-level fusion against the fusion of hands characteristics and expression characteristics, and analyzing the experimental results.
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