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Corrosion is a form of damage that often appears on the surface of metal-madeobjects used in industrial applications. Those damages can be criticaldepending on the purpose of the used object. Optical-based testing systemsprovide a form of non-contact data acquisition, where the acquired data canthen be used to analyse the surface of an object. In the field of industrialimage processing, this is called surface inspection. We provide a testing setupconsisting of a rotary table which rotates the object by 360 degrees, as wellas industrial RGB cameras and laser triangulation sensors for the acquisitionof 2D and 3D data as our multi-sensor system. These sensors acquire data whilethe object to be tested takes a full rotation. Further on, data augmentation isapplied to prepare new data or enhance already acquired data. In order toevaluate the impact of a laser triangulation sensor for corrosion detection,one challenge is to at first fuse the data of both domains. After the datafusion process, 5 different channels can be utilized to create a 5D featurespace. Besides the red, green and blue channels of the image (1-3), additionalrange data from the laser triangulation sensor is incorporated (4). As a fifthchannel, said sensor provides additional intensity data (5). With amulti-channel image classification, a 5D feature space will lead to slightlysuperior results opposed to a 3D feature space, composed of only the RGBchannels of the image.

Corrosion Detection for Industrial Objects: From Multi-Sensor System to 5D Feature Space