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Estimating the efficiency of two algorithms for segmentation of digital radiation images of test objects S. E. Vorobeychikov, V. A. Fokin, V. A. Udod, A. K. Temnik

Contributor(s): Vorobeychikov, Sergey E | Udod, Victor A | Temnik, A. K | Fokin, V. AMaterial type: ArticleArticleSubject(s): математические модели | сегментация цифровых изображенийGenre/Form: статьи в журналах Online resources: Click here to access online In: Russian journal of nondestructive testing Vol. 53, № 2. P. 134-141Abstract: A mathematical model that describes digital radiation images of test objects is presented. Two algorithms are given for automatic segmentation of digital images distorted by additive noises. The efficiency of the algorithms is estimated based on mathematical modeling.
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A mathematical model that describes digital radiation images of test objects is presented. Two algorithms are given for automatic segmentation of digital images distorted by additive noises. The efficiency of the algorithms is estimated based on mathematical modeling.

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