Chemicals Pollution Level Detection Based on Image Gray Difference

Due to the complexity of environmental changes in chemical plants, the concentration of some polluted gases is affected and decreased, which changes the pixel characteristics of chemical pollution, resulting in deviations in the grade detection results of existing chemical pollution level detection methods. Therefore, a method for detecting chemical pollution level based on image gray difference is presented. Video images of chemical pollution were extracted by inputting chemical pollution images and selecting chemical pollution characteristic parameters. The intensity of chemical pollution was calculated by image gray difference algorithm, and the gray pixel characteristics of chemical pollution image were classified to realize the detection of chemical pollution level. The experimental results show that the proposed method has more successful times in detecting chemical pollution level and less error rate in detecting results. It can effectively improve the shortcomings of existing chemical pollution level detection.