Novel infrared background suppression algorithm based on improved bidirectional diffusion

Wavelet forward and backward diffusion is based on wavelet diffusion theory.

To solve these problems,this paper proposed two kinds of nonlinear filtering such as anisotropic diffusion filtering and bilateral filtering,also,applied them to edge detection respectively,by contrastable experiment results indicate that the rate of accuracy of edge detection can be enhanced and a much better edge detection effect is obtained.

Based on Shape Context, this method is a 2D invariance shape matching algorithm, integrated with improved contour extraction algorithm, pretreatment (diffusion filter algorithm) and normalization method, which make it suitable for both simple shape and face shape matching.

This method is proved to be the second order finite difference solution of the diffusion wave.

The diffusion wave equation is based on the neglect of the inertia terms from the momentum equation of the De Saint Venant flow equations, and it has been demonstrated that the model is a good method for flood routing with enough accuracy and relatively simply.

This paper proposes a flood routing model based on the analytical solution of the linear diffusion wave equation with free downstream conditions.