The main constituents of rust layers of carbon steel generated in marine atmosphere, goethite andlepidocrocite, have been synthesized in the laboratory. The images of synthesized corrosion productswith different mixing ratios were obtained using the established image acquisition system. To get thecharacteristic information, images were analyzed based on colorimetry theory. Finally, an artificialneural network was employed to determine a relationship between the mixing ratios and achieved imagecharacteristics. Mass fraction of goethite, protective constitute of rust layers, could be obtained based onimage analysis of rust layers. The corrosion behavior of Q235 steel under the simulated marineatmosphere was investigated by above method. And the result showed a good correlation withelectrochemical information.
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