We present a method for automated grading of texture samples which grades the sample based on a sequential scan of overlapping blocks, whose texture is classified using a soft partitioned SOM, where the soft clusters have been automatically generated using a labelled training set. The method was devised as an alternative to manual selection of hard clusters in a SOM for machine vision inspectio...
