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- W2354990114 abstract "Aiming at the problem of single-factor evaluation on the effort of image fusion,which only consider some feature of the fusion image and lack the global characteristic,a comprehensive evaluation method based on artificial neural networks is proposed.Entropy,spatial frequency,cross entropy and mean-square error of the image is selected to form a set of single-factor evaluation index.First,get the evaluation value of single-factor index through fuzzy integral,and then take them as inputs of artificial neural network to train their weights.Thus the comprehensive evaluation index is achieved.The method is applied to series of experiments on the evaluation of infrared and visible light image fusion,which prove that the evaluation result is reasonable and consistent with subjective evaluation." @default.
- W2354990114 created "2016-06-24" @default.
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- W2354990114 date "2006-01-01" @default.
- W2354990114 modified "2023-09-24" @default.
- W2354990114 title "Comprehensive Evaluation of Image Fusion Based on Artificial Neural Network" @default.
- W2354990114 hasPublicationYear "2006" @default.
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