Multi-source image fusion technology in the system of coal mine monitoring and control

Abstract

Most of the coal mine monitoring and control systems are the gas alarm device for the gas, this type of monitoring and control system can only monitor downhole gas, but it can't provide the visual condition of downhole to the ground monitoring person. To get the visible light image and infrared image, we research the target feature extraction technology of multi-source image. On the basis, we use the partial differential equations to get the fusion of the visible light image and the infrared image, then use the wavelet analysis method to solve the corresponding partial differential equation. We use compactly supported wavelet representation of differential operator structure the Daubechies wavelet solution of nonlinear partial differential equation. This article focused on using wavelet analysis algorithm to solve the partial differential equationsand used it on the multi-source image fusion. We hope the result of this article is superior to the classic image fusion algorithm in the application of the underground mine multi-source image fusion.