I. Topalova

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This paper presents an adaptive approach, based on image processing and use of self-organizing maps for filtering, analyzing, and determining the sigma phase percentage in metallographic images of austenitic stainless steel. In order to predict the remaining life of the austenitic stainless steel (12X18H12T), a metallographic analysis of the sigma phase(More)
This is a presentation of a new system for invariant recognition of 2D objects with overlapping classes, that can not be effectively recognized with the traditional methods. The translation, scale and partial rotation invariant contour object description is transformed in a DCT spectrum space. The obtained frequency spectrums are decomposed into frequency(More)
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