Abstract
Contextual statistical decision rules for classification of lattice-structured data such as pixels in multispectral imagery are developed. Their recursive implementation is shown to have a strong resemblance to relaxation algorithms. Experimental evaluation of the proposed algorithms demonstrates their effectiveness.
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