Hannu Rautio

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In automated visual surface inspection based on statistical pattern recognition, the collection of training material for setting up the classifier may appear to be difficult. Getting a representative set of labelled training samples requires scanning through large amounts of image material by the training personnel, which is an error prone and laborious(More)
Many industrial processes need information about material grain size. In this work we examined rolled chrome concentrate to determine the average grain size. Test material was sieved into 15 fractions, from 37 μm to 500 μm. The analysis method can be divided in three sections: preprocessing, feature extraction and classification. Mathematical morphology was(More)
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