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In order to maintain the safety of steel tubes which have been used externally as structural members in buildings and large scale structures for a long period, the inner walls of the tubes are often investigated by inspectors using industrial endoscopes. In the present study, to reduce the necessity of visual inspection, we have focused on the color of the rust which appears in the corroded wall, and have tried to detect corroded regions using color image processing. Namely, the input RGB color images are transformed to color sensitive space L*a*b*, and three parameters, lightness, chroma, and hue angle are calculated and investigated around the corroded region. Moreover, we have developed this method to facilitate inspection of the video tape of the corroded regions in real time using a commercial high speed image processing board.

Automation of Corrosion Inspection of a Steel Tube Inner Wall using an Industrial Endoscope