| 000 | 03520nlm0a2200433 4500 | ||
|---|---|---|---|
| 001 | 651801 | ||
| 005 | 20231030041102.0 | ||
| 035 | _a(RuTPU)RU\TPU\network\17063 | ||
| 090 | _a651801 | ||
| 100 | _a20161123d2016 k y0engy50 ba | ||
| 101 | 0 | _aeng | |
| 105 | _ay z 100zy | ||
| 135 | _adrcn ---uucaa | ||
| 181 | 0 | _ai | |
| 182 | 0 | _ab | |
| 200 | 1 |
_aSelf-adaptive models for laser monitor image processing _fA. A. Zaytsev [et al.] |
|
| 203 |
_aText _celectronic |
||
| 300 | _aTitle screen | ||
| 320 | _a[References: 9 tit.] | ||
| 330 | _aThe paper is devoted to processing the images of specific type. In particular, we present a work in progress of how the image quality can be improved when such images are obtained using a laser monitor. This monitor represents a novel technology that allows to see (observe) some objects or processes that cannot be distinguished with human being eyes, for example, human beings cannot see through flames without special equipment. A laser monitor provides these abilities but the corresponding images are captured by high speed cameras and still need to be improved. Such improvement cannot be performed with the use of `classical' methods and software tools. The reason is that by default almost all of them perform the de-noising under the assumption of well studied noises, such as white Gaussian noise. However, this is not the case for the images obtained from the laser monitor as it is demonstrated in this paper by our experimental results. As an alternative solution, we propose to address the self adaptive models for efficient improvement of the images of this proper kind. The paper contains the discussion about the types of self adaptive models that can be taken into consideration for this purpose. | ||
| 333 | _aРежим доступа: по договору с организацией-держателем ресурса | ||
| 463 |
_tMicro/Nanotechnologies and Electron Devices, EDM 2016 _o17th International Conference of Young Specialists, 30 June-4 July 2016, Erlagol, Altai Republic, Russia _lМикро/нанотехнологии и электронные приборы _o[proceedings] _v[P. 300-303] _oXVII Международная конференция молодых специалистов, 30 июня - 4 июля 2016 г., НГТУ ЗСОК "Эрлагол", Чемал _d2016 |
||
| 610 | 1 | _aэлектронный ресурс | |
| 610 | 1 | _aтруды учёных ТПУ | |
| 610 | 1 | _aадаптивные модели | |
| 610 | 1 | _aличность | |
| 610 | 1 | _aлазерные мониторы | |
| 610 | 1 | _aобработка | |
| 610 | 1 | _aизображения | |
| 701 | 1 |
_aZaytsev _bA. A. _gAlexandre Alexandrovich |
|
| 701 | 1 |
_aTrigub _bM. V. _cspecialist in the field of non-destructive testing _cAssociate Professor of Tomsk Polytechnic University, Candidate of technical sciences _f1987- _gMaksim Viktorovich _2stltpush _3(RuTPU)RU\TPU\pers\31242 |
|
| 701 | 1 |
_aKushik _bN. G. _gNataljya Gennadjevna |
|
| 701 | 1 |
_aEvtushenko _bN. V. _gNina Vladimirovna |
|
| 701 | 1 |
_aEvtushenko _bT. G. _gTatjyana Gennadjevna |
|
| 712 | 0 | 2 |
_aНациональный исследовательский Томский политехнический университет (ТПУ) _bИнститут физики высоких технологий (ИФВТ) _2stltpush _3(RuTPU)RU\TPU\col\17233 |
| 801 | 1 |
_aRU _b63413507 _c20141010 |
|
| 801 | 2 |
_aRU _b63413507 _c20171117 _gRCR |
|
| 856 | 4 | _uhttp://dx.doi.org/10.1109/EDM.2016.7538745 | |
| 942 | _cCF | ||