Research on Method of Identifying CO2 Corrosion Type Based on Morphology Image and Support Vector Machine

Aiming to solve the difficulty of recognize corrosion types for complex CO2 corrosion process with data, this paper presents a recognition method of CO2 corrosion types using SVM as recognizer. Surface morphology images of N8 steel corroded by CO2 are decomposed into sub-images by wavelet after gray processing and gray enhancement, and energy information of sub-images is extracted as eigenvector. SVM classifier is constructed based on the three sample sets of no corrosion, pitting corrosion and uniform corrosion, which can recognize CO2 corrosion types accurately. Superiority of this method is verified by comparison with recognition result of neural network.