Seppo Smolander

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A method for constructing classiication features with unsupervised learning is presented. The method is based on clustering of the high dimensional measurements into a small number of features with self-organizing maps. The histograms of the self-organized features are classiied with a multilayer perceptron network, that can pick up the relevant features(More)
The quality of a board or a sheet of veneer determines its potential uses and the price for the sawmills. Automatic detection of the defects in the wood surface and grading of the products is one of the key interest areas in the mechanical wood industry. In this paper two methods for knot recognition are reviewed and compared. The rst method is based on(More)
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