Multispectral edge detection algorithms for industrial inspection tasks

Multispectral imaging technology enables a lot of possibilities in industrial imaging and automation. Especially parts which are complicated for inspection can be inspected using more than one or three wavelength channels. One challenge is the use of all channel information in the multispectral image for the edge detection. For this purpose different approaches were investigated. The results of the investigations in different edge detection models were applied for the segmentation of specific boundaries on composite pipes. With the presented multispectral imager and the investigated methods in multispectral image processing, the different layers on the pipe were segmented with subpixel accuracy as well as with pixel accuracy. Furthermore the challenges for illumination correction as well as geometric correction were discussed.