Research on Noise Processing Technology Based on Machine Vision
A multi-level noise suppression technology based on machine vision to address the issue of image noise in the construction of distribution networks,aiming to improve the quality of images of distribution equipment.The technology combines adaptive histogram equalization,deep learning convolutional neural networks,and multi-scale feature fusion techniques to solve the noise problem in distribution equipment images.Experimental results show that compared with traditional denoising algorithms,the proposed technology performs excellently in terms of Peak Signal-to-Noise Ratio(PSNR)and Structural Similarity(SSIM),significantly enhancing the quality of image processing.
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