A Cumulative Sums Algorithm for Segmentation of Digital X-ray Images
| Parent link: | Journal of Nondestructive Evaluation Vol. 38.— 2019.— [38, 7 p.] |
|---|---|
| Glavni avtor: | |
| Korporativna značnica: | |
| Drugi avtorji: | , |
| Izvleček: | Title screen A mathematical model of digital X-ray image of the test object is presented for the case when the main type of image distortion is the noise due to the quantum nature of the radiation. The new multilevel cumulative sums algorithm for automatic image segmentation is proposed. The algorithm is based on the edge detection of the segments homogeneous in brightness along the image rows and columns by repeatedly applying the cumulative sums procedure. The efficiency of the proposed algorithm is compared with the known threshold and Leader algorithms. The comparison was performed on simulated images as well as on the X-ray image of a weld. The mean square errors for the new algorithm were about two and three times less than for the threshold and Leader algorithms, correspondingly. Режим доступа: по договору с организацией-держателем ресурса |
| Jezik: | angleščina |
| Izdano: |
2019
|
| Teme: | |
| Online dostop: | https://doi.org/10.1007/s10921-019-0616-3 |
| Format: | Elektronski Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=660677 |
MARC
| LEADER | 00000naa0a2200000 4500 | ||
|---|---|---|---|
| 001 | 660677 | ||
| 005 | 20250404144951.0 | ||
| 035 | |a (RuTPU)RU\TPU\network\30533 | ||
| 090 | |a 660677 | ||
| 100 | |a 20190926d2019 k||y0rusy50 ba | ||
| 101 | 0 | |a eng | |
| 102 | |a US | ||
| 135 | |a drcn ---uucaa | ||
| 181 | 0 | |a i | |
| 182 | 0 | |a b | |
| 200 | 1 | |a A Cumulative Sums Algorithm for Segmentation of Digital X-ray Images |f S. E. Vorobeychikov, S. V. Chakhlov, V. A. Udod | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [References: 26 tit.] | ||
| 330 | |a A mathematical model of digital X-ray image of the test object is presented for the case when the main type of image distortion is the noise due to the quantum nature of the radiation. The new multilevel cumulative sums algorithm for automatic image segmentation is proposed. The algorithm is based on the edge detection of the segments homogeneous in brightness along the image rows and columns by repeatedly applying the cumulative sums procedure. The efficiency of the proposed algorithm is compared with the known threshold and Leader algorithms. The comparison was performed on simulated images as well as on the X-ray image of a weld. The mean square errors for the new algorithm were about two and three times less than for the threshold and Leader algorithms, correspondingly. | ||
| 333 | |a Режим доступа: по договору с организацией-держателем ресурса | ||
| 461 | |t Journal of Nondestructive Evaluation | ||
| 463 | |t Vol. 38 |v [38, 7 p.] |d 2019 | ||
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a inspected object | |
| 610 | 1 | |a mathematical model | |
| 610 | 1 | |a digital X-ray image | |
| 610 | 1 | |a segmentation algorithms | |
| 610 | 1 | |a рентгеновское изображение | |
| 610 | 1 | |a математическая модель | |
| 610 | 1 | |a сегментация | |
| 700 | 1 | |a Vorobeychikov |b S. E. |g Sergey Erikovich | |
| 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 Udod |b V. A. |c specialist in the field of non-destructive testing |c Leading researcher of Tomsk Polytechnic University, Doctor of technical sciences |f 1959- |g Viktor Anatolievich |3 (RuTPU)RU\TPU\pers\35232 | |
| 712 | 0 | 2 | |a Национальный исследовательский Томский политехнический университет |b Институт неразрушающего контроля |b Российско-китайская научная лаборатория радиационного контроля и досмотра |3 (RuTPU)RU\TPU\col\21551 |
| 801 | 2 | |a RU |b 63413507 |c 20190926 |g RCR | |
| 856 | 4 | |u https://doi.org/10.1007/s10921-019-0616-3 | |
| 942 | |c CF | ||