Iterative morphology for fault detection in stochastic textures

The detection of abnormalities in stochastic textures is a challenging task in comparison to locating faults in replicated texture images. The authors demonstrate a technique based in the spatial and feature domains and detect abnormal formulations across the surface of randomly-textured images. The technique is based on colour clustering followed by structural processing with morphological operators.