The paper presents a software implementation of an Intelligent System for Radiogram Analysis (ISAR). The system has to support radiologists in welds quality inspection. The image processing part of software with a graphical user interface and a welds classification part are described with selected classification results. Classification was based on a few algorithms: an artificial neural network, a k-means clustering, a simplified k-means and a rough sets theory.

Topics
Software engineering, Image processing, Artificial neural networks, Graphical user interface, Set theory, Radiologists
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© 2013 American Institute of Physics.
2013
American Institute of Physics
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