The paper describes basic parameters of the Pulse coupled neural network (PCNN) and their influence to feature generation for image recognition, especially. The basic PCNN parameters are linking radius, linking coefficient and PCNN kernel type. Determination of the optimal values of these parameters is a difficult problem, because they are dependent on input image set. In many cases these parameters can be set experimentally. It is very important to set up these parameters correctly, because they have influence on duration of feature generation process, on the number of features for the needed image description and on the quality and exactness of generated features.
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