Experimental Research of High-Energy Capabilities of Material Recognition by Dual-Energy Method for the Low- Dose Radiation; IOP Conference Series: Materials Science and Engineering; Vol. 132 : Modern Technologies for Non-Destructive Testing
| Parent link: | IOP Conference Series: Materials Science and Engineering Vol. 132 : Modern Technologies for Non-Destructive Testing.— 2016.— [012012, 5 p.] |
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| Corporate Authors: | , |
| Outros autores: | , , , |
| Summary: | Title screen The algorithm to produce primary radiographs, its transformation by dual energy method and recognition of the object materials were enhanced based on the analysis of experimental results. The experiments were carried out at the inspection complex with high X- ray source - betatron MIB 4/9 in Tomsk Polytechnic University. For the reduced X -ray dose rate, the possibility of recognition of the object materials with thickness from 20 to 120 g/cm{2} was proved under the condition that as the dose rate is reduced by the defined number of times, the segment of the image fragment with the reliably identified material will increase by the same number of times. |
| Idioma: | inglés |
| Publicado: |
2016
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| Subjects: | |
| Acceso en liña: | http://dx.doi.org/10.1088/1757-899X/132/1/012012 http://earchive.tpu.ru/handle/11683/33953 |
| Formato: | Electrónico Capítulo de libro |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=650546 |
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| 200 | 1 | |a Experimental Research of High-Energy Capabilities of Material Recognition by Dual-Energy Method for the Low- Dose Radiation |f A. Abashkin [et al.] | |
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| 300 | |a Title screen | ||
| 320 | |a [References: 11 tit.] | ||
| 330 | |a The algorithm to produce primary radiographs, its transformation by dual energy method and recognition of the object materials were enhanced based on the analysis of experimental results. The experiments were carried out at the inspection complex with high X- ray source - betatron MIB 4/9 in Tomsk Polytechnic University. For the reduced X -ray dose rate, the possibility of recognition of the object materials with thickness from 20 to 120 g/cm{2} was proved under the condition that as the dose rate is reduced by the defined number of times, the segment of the image fragment with the reliably identified material will increase by the same number of times. | ||
| 461 | 0 | |0 (RuTPU)RU\TPU\network\2008 |t IOP Conference Series: Materials Science and Engineering | |
| 463 | 0 | |0 (RuTPU)RU\TPU\network\15332 |t Vol. 132 : Modern Technologies for Non-Destructive Testing |o IV International Conference, 5–10 October 2015, Tomsk, Russia |o [proceedings] |v [012012, 5 p.] |d 2016 | |
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| 701 | 1 | |a Abashkin |b A. | |
| 701 | 1 | |a Osipov |b S. P. |c specialist in the field of non-destructive testing |c Leading researcher of Tomsk Polytechnic University, candidate of technical sciences |f 1958- |g Sergey Pavlovich |3 (RuTPU)RU\TPU\pers\35098 |9 18373 | |
| 701 | 1 | |a Chakhlov |b S. V. |c physicist |c Head of the laboratory of Tomsk Polytechnic University, Candidate of physical and mathematical sciences |f 1956- |g Sergey Vladimirovich |3 (RuTPU)RU\TPU\pers\34254 |9 17785 | |
| 701 | 1 | |a Stein |b A. M. |c physicist |c engineer of Tomsk Polytechnic University |f 1986- |g Aleksandr Mikhailovich |3 (RuTPU)RU\TPU\pers\34573 |9 17935 | |
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