关键词: 仿生')">仿生, 红外图像')">红外图像, 可见光图像')">可见光图像, 图像融合 ')">图像融合

Abstract: In order to realize the fusion of infrared image and visible image, a neural network structure of infrared image and visible image fusion based on the visual imaging mechanism of rattlesnake is designed. Firstly, according to the six response modes of dual-mode cells, six response results of infrared and visible image are obtained. Then, based on the mathematical model of visual receptive field, the neural network structure of infrared image and visible image fusion is designed, and six kinds of dual-mode cell responses are input into a two-layer network structure composed of on countermeasure system and off countermeasure system. Finally, the mapping values of R, G and B channels and the pseudo color image enhancement results are output. Four groups of registered infrared and visible images are fused respectively. And the fusion results are compared with the classical Waxman method. The experimental results show that the fusion image effect of the designed network structure is better, and the information entropy and average gradient are better than the classical Waxman method.

Key words: bionics, infrared image, visible image, image fusion