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Color and Texture Analysis for Corrosion Detection


Corrosion is a crucial defect in structural systems that can lead to catastrophic effects if neglected. In this study, we have evaluated several parameters that can affect the performance of color wavelet-based texture analysis algorithms for detecting corrosion. Furthermore, an approach is proposed to utilize the depth perception for corrosion detection. The proposed approach improves the reliability of the corrosion detection algorithm.






Related Publication


Mohammad R. Jahanshahi and Sami F. Masri, (2013), "Parametric performance evaluation of wavelet-based corrosion detection algorithms for condition assessment of civil infrastructure systems," Journal of Computing in Civil Engineering, American Society of Civil Engineers (ASCE), Vol. 27, No. 4, July 2013, 345-357.




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