Department of Information Engineering, Heilongjiang International University, Harbin 150025, China
Because of the remarkable advantages of computer neural network(NN), it has been widely used in the field of image feature(IF) fusion recognition, and the research involves multiple research fields. In addition to image recognition or image classification, it has been studied in computer vision, industrial control and other aspects. This paper focuses on the analysis of the IF of the fusion BP NN. This paper briefly analyzes the fusion of IF, spectral features and texture features, proposes BP NN algorithm, and applies it to image fusion design; Finally, through experimental tests, the detection accuracy of fusion BP NN and traditional BP algorithm in IF fusion is compared and analyzed, which verifies the effectiveness and feasibility of the BP NN algorithm in this paper.
BP Neural Network, Image Feature, Genetic Algorithm, Image Fusion
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