Optimal Methods of Segmentation of Tomographic Volume Searching System: A Preliminary Review; Key Engineering Materials; Vol. 685 : High Technology: Research and Applications 2015 (HTRA 2015)
| Parent link: | Key Engineering Materials: Scientific Journal Vol. 685 : High Technology: Research and Applications 2015 (HTRA 2015).— 2016.— [P. 857-862] |
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| Achoimre: | Title screen Recent research studies in the sphere of computer tomography are connected with the task of image analysis. Due to the fact that computed tomography images include artifacts, low contrast and different types of noises, researchers have to deal with a wide range of problems during the processing. There is a wide variety of preliminary processing methods which allow solving these problems. Obviously, the choice of these methods has a major impact on the result [1]. However, algorithm analysis of computed tomography images is not considered in the literature nowadays. This work presents an overview of the implementation approach of these methods. Режим доступа: по договору с организацией-держателем ресурса |
| Teanga: | Béarla |
| Foilsithe / Cruthaithe: |
2016
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| Sraith: | Information Technology, Data and Signal Processing |
| Ábhair: | |
| Rochtain ar líne: | http://dx.doi.org/10.4028/www.scientific.net/KEM.685.857 |
| Formáid: | Leictreonach Caibidil leabhair |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=646555 |
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| 200 | 1 | |a Optimal Methods of Segmentation of Tomographic Volume Searching System: A Preliminary Review |f I. P. Skirnevsky, A. Korovin | |
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| 225 | 1 | |a Information Technology, Data and Signal Processing | |
| 300 | |a Title screen | ||
| 330 | |a Recent research studies in the sphere of computer tomography are connected with the task of image analysis. Due to the fact that computed tomography images include artifacts, low contrast and different types of noises, researchers have to deal with a wide range of problems during the processing. There is a wide variety of preliminary processing methods which allow solving these problems. Obviously, the choice of these methods has a major impact on the result [1]. However, algorithm analysis of computed tomography images is not considered in the literature nowadays. This work presents an overview of the implementation approach of these methods. | ||
| 333 | |a Режим доступа: по договору с организацией-держателем ресурса | ||
| 461 | 0 | |0 (RuTPU)RU\TPU\network\11477 |t Key Engineering Materials |o Scientific Journal | |
| 463 | 0 | |0 (RuTPU)RU\TPU\network\11478 |t Vol. 685 : High Technology: Research and Applications 2015 (HTRA 2015) |o The IV International Conference, April 21-24, 2015, Tomsk, Russia |o [proceedings] |f National Research Tomsk Polytechnic University (TPU) ; ed. N. V. Martyushev, A. M. Bogdan |v [P. 857-862] |d 2016 | |
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