Research of Improved Canny Algorithm (ICAMO) Based on Multi-module Optimization in 5G Smart Grid

In 5G smart grid scenario, massive high-speed returned image information, efficient image analysis and edge detection are the key to achieve fault and disaster early warning. In this paper, the existing Canny operator detection mean square error is large, and the cable operator detection structure similarity is low. An Improved Canny algorithm based on Multimodule Optimization (ICAMO) is proposed. The key technologies of each stage are wavelet threshold denoising, improved four direction Sobel template, angle interpolation, Otsu fusion algorithm and double threshold processing. Through the simulation, we can see that ICAMO algorithm not only has the advantage of small edge extraction, but also has better detection performance. Compared with canny and Sobel algorithm, the edge extracted by him is thinner, the location is more accurate, and has better performance of mean square error and structural similarity.