Detection Method of Hg²⁺ Impurity Content in Marine Pollution Based on Intelligent Image Processing Available to Purchase

Han, Y. and Li, Q., 2019. Detection method of Hg²⁺ impurity content in marine pollution based on intelligent image processing. In: Hoang, A.T. and Aqeel Ashraf, M. (eds.), Research, Monitoring, and Engineering of Coastal, Port, and Marine Systems. Journal of Coastal Research, Special Issue No. 97, pp. 229–235.

In order to improve the detection ability of Hg²⁺ impurity content in marine pollution, it is necessary to estimate the fractal dimension of Hg²⁺ impurity distribution image in marine pollution. A detection method of Hg²⁺ impurity content in marine pollution based on intelligent image processing is proposed. The super-resolution fusion method is used to extract the significant area features of the collected Hg²⁺ impurity distribution image, and the fractal edge profile extraction model of Hg²⁺ impurity distribution image in marine pollution is constructed. The edge profile feature detection method is used for texture segmentation of Hg²⁺ impurity distribution image in marine pollution. Combined with weighted variance estimation method, the texture feature recognition of information fusion of Hg²⁺ impurity distribution image in marine pollution is carried out. The fractal dimension statistical analysis model of Hg²⁺ impurity distribution image in marine pollution is established, and the association regular pixel points of Hg²⁺ impurity distribution image in marine pollution are extracted. According to the color characteristic components of Hg²⁺ impurity distribution image in marine pollution, the multi-level content detection is carried out. The simulation results show that the method has high accuracy and adaptability in the detection of Hg²⁺ impurity content in marine pollution, and improves the identification and detection ability of Hg²⁺ impurity content in marine pollution.