A Image Fusion Method Based on Non-negative Matrix Factorization and Infrared Feature
A Image Fusion Method Based on Non-negative Matrix Factorization and Infrared Feature
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发表时间：
2008
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通讯作者：
Chen Juan
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作者：
Chen Juan
A proposal method based on non-negative factorization(NMF) and infrared feature is presented for infrared and visual images fusion,which fuses the target region and background respectively.Source images are taken as source data in NMF analysis,from which the feature base image containing the global features of the original images can be extracted.Then the target regions from infrared image are segmented by region growing method.The segmented target regions are fused with background regions of feature base image.Experiment shows the method can keep texture detail information of visual image and infrared feature of infrared image,and enhance the readability of source images.
