<title>Pattern recognition in autoradiography of optical materials</title>

Application of fast-acting digital computers and technical means of signal treatment allowed autoradiographic analysis in material science by investigating component distribution of the base and impurities in optical monocrystals. Heterogeneity of the growing crystals caused by the unevenness of component distribution of the base and impurities dictates the necessity of improved methods of study. One of the methods widely used in crystal homogeneity investigations, activation radiography, is based on the secondary (beta) -irradiation registration. Analysis of autoradiographic features is connected with the elucidation of the optical density distribution of the exposed and treated photoemulsion, used in the quality of detector of the secondary (beta) -irradiation. In this paper the possibilities of the digital image processing (DIP) by the autoradiographic investigation of the monocrystals, on the basis of hufnium dioxide, stabilized by the different rare-earth elements are shown.

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