期刊名称：International Journal of Computer Technology and Applications
电子版ISSN：2229-6093
出版年度：2013
卷号：4
期号：4
页码：566-571
出版社：Technopark Publications
摘要：Fusing information contained in multiple images playsan increasingly important role for quality inspection in industrial processes as well as in situation assessment for autonomous systems and assistance systems. The aim of image fusion in general is to use images as redundant or complementary sources to extract information from them with higher accuracy or reliability. This dissertation describes image fusion in detail, and firstly intrudes the three basic levels which are pixel level, feature level and decision level fusion, and then compares with their properties and all other aspects. Then it describes the evaluation criteria ofimage fusion results from subjective evaluation and objective evaluation two aspects. According to the quantitative evaluation of the image fusion results and quality, this text uses and defines multiple evaluation parameters such as fusion image entropy, mutual information MI, the average gradient, standard deviation, cross-entropy, unite entropy, bias, relative bias, mean square error, root mean square error and peak SNR, and establishes the corresponding evaluation criteria
