The Results of a Complex Analysis of the Modified Pratt-Yaskorskiy Performance Metrics Based on the Two-Dimensional Markov-Renewal-Process; Lecture Notes in Computer Science; Vol. 9875 : Computational Collective Intelligence. Pt.1
| Parent link: | Lecture Notes in Computer Science Vol. 9875 : Computational Collective Intelligence. Pt.1.— 2016.— [P. 187-196] |
|---|---|
| 1. Verfasser: | |
| Körperschaft: | |
| Weitere Verfasser: | , |
| Zusammenfassung: | Title screen The paper presents the results of a quantitative estimation of the edge detection quality using modified Pratt-Yaskorskiy criterion, as well as generalization and adaptation of both approaches based on the generalized quality criterion as part of «CS sF» stochastic simulation software package. The reference images are approximated by the two-dimensional high rise renewal stream offering the stationarity properties with no aftereffects and ordinariness. The efficiency of the proposed metrics is considered for three edging algorithms (Marr-Hildreth, ISEF and Canny) at different levels of the additive normal noise. The estimated errors of the first and second kind are given, which allow referring to the efficiency of the proposed generalized quality criterion. Режим доступа: по договору с организацией-держателем ресурса |
| Sprache: | Englisch |
| Veröffentlicht: |
2016
|
| Schlagworte: | |
| Online-Zugang: | http://link.springer.com/chapter/10.1007%2F978-3-319-45243-2_17 |
| Format: | xMaterials Elektronisch Buchkapitel |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=651331 |
MARC
| LEADER | 00000naa0a2200000 4500 | ||
|---|---|---|---|
| 001 | 651331 | ||
| 005 | 20250320090758.0 | ||
| 035 | |a (RuTPU)RU\TPU\network\16580 | ||
| 090 | |a 651331 | ||
| 100 | |a 20161109d2016 k||y0rusy50 ba | ||
| 101 | 0 | |a eng | |
| 135 | |a drcn ---uucaa | ||
| 181 | 0 | |a i | |
| 182 | 0 | |a b | |
| 200 | 1 | |a The Results of a Complex Analysis of the Modified Pratt-Yaskorskiy Performance Metrics Based on the Two-Dimensional Markov-Renewal-Process |f V. E. Geringer, D. V. Dubinin, A. I. Kochegurov | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [References: 17 tit.] | ||
| 330 | |a The paper presents the results of a quantitative estimation of the edge detection quality using modified Pratt-Yaskorskiy criterion, as well as generalization and adaptation of both approaches based on the generalized quality criterion as part of «CS sF» stochastic simulation software package. The reference images are approximated by the two-dimensional high rise renewal stream offering the stationarity properties with no aftereffects and ordinariness. The efficiency of the proposed metrics is considered for three edging algorithms (Marr-Hildreth, ISEF and Canny) at different levels of the additive normal noise. The estimated errors of the first and second kind are given, which allow referring to the efficiency of the proposed generalized quality criterion. | ||
| 333 | |a Режим доступа: по договору с организацией-держателем ресурса | ||
| 461 | |t Lecture Notes in Computer Science | ||
| 463 | |t Vol. 9875 : Computational Collective Intelligence. Pt.1 |o 8th International Conference, ICCCI 2016, Halkidiki, Greece, September 28-30, 2016 |o proceedings |v [P. 187-196] |d 2016 | ||
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a компьютерное моделирование | |
| 610 | 1 | |a эталонное изображение | |
| 700 | 1 | |a Geringer |b V. E. |g Viktor Evgenjevich | |
| 701 | 1 | |a Dubinin |b D. V. |g Dmitry Vladimirovich | |
| 701 | 1 | |a Kochegurov |b A. I. |c specialist in the field of Informatics and computer engineering |c associate Professor of Tomsk Polytechnic University, candidate of technical Sciences |f 1954- |g Aleksandr Ivanovich |3 (RuTPU)RU\TPU\pers\34160 |9 17700 | |
| 712 | 0 | 2 | |a Национальный исследовательский Томский политехнический университет |b Институт кибернетики |b Кафедра прикладной математики |3 (RuTPU)RU\TPU\col\18700 |9 27153 |
| 801 | 2 | |a RU |b 63413507 |c 20161117 |g RCR | |
| 856 | 4 | |u http://link.springer.com/chapter/10.1007%2F978-3-319-45243-2_17 | |
| 942 | |c CF | ||