Estimating the efficiency of two algorithms for segmentation of digital radiation images of test objects
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.
Published in: | Russian journal of nondestructive testing Vol. 53, № 2. P. 134-141 |
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Other Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | http://vital.lib.tsu.ru/vital/access/manager/Repository/vtls:000616082 Перейти в каталог НБ ТГУ |
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245 | 1 | 0 | |a Estimating the efficiency of two algorithms for segmentation of digital radiation images of test objects |c S. E. Vorobeychikov, V. A. Fokin, V. A. Udod, A. K. Temnik |
504 | |a Библиогр.: 17 назв. | ||
520 | 3 | |a 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. | |
653 | |a математические модели | ||
653 | |a сегментация цифровых изображений | ||
655 | 4 | |a статьи в журналах |9 879358 | |
700 | 1 | |a Vorobeychikov, Sergey E. |9 103856 | |
700 | 1 | |a Udod, Victor A. |9 349597 | |
700 | 1 | |a Temnik, A. K. |9 478640 | |
700 | 1 | |a Fokin, V. A. |9 478641 | |
773 | 0 | |t Russian journal of nondestructive testing |d 2017 |g Vol. 53, № 2. P. 134-141 |x 1061-8309 | |
852 | 4 | |a RU-ToGU | |
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856 | |y Перейти в каталог НБ ТГУ |u https://koha.lib.tsu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=428416 | ||
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