To enhance image filtering denoising effect for boiler water level gauge and improve image clarity to better study image recognition later

an improved anisotropic diffusion model filtering algorithm is given through analyzing filtering denoising algorithm such as P-M anisotropic diffusion model

selection diffusion model and You Yu-Li and Kaveh M fourth-order partial differential equations. The proposed algorithm makes diffusion functions of Perona and Malik equalization and introduce standard deviation and regards as deviation margin of gradient expectation value

combines with the covering edge feature of the anisotropic diffusion P-M model and eliminates the ladder defect due to the traditional algorithm overshoot so that the image useful information can be kept and pixel smoothness. The experimental result shows that the proposed filtering algorithm can better reduce the impact of noise on target signal extraction and improve image recognition robustness and enhance effect of image smooth filtering

and image edge clarity and integrity of boiler water level gauge.