Combination of weak classifiers for metallic corrosion detection and guided crack location

Periodic visual inspection of the internal and external parts of vessels hull is typically performed by trained surveyors at great cost. Assisting them during the inspection process by means of mechanisms capable of defect detection would certainly decrease inspection cost. With this aim, this paper presents a corrosion detection algorithm built around a weak classifiers cascade scheme and reports on its performance. As a secondary contribution, a crack detection approach guided by the output of the corrosion detector is also proposed. As a result, false positives rate is reduced as well as the computation time.