Improving the criteria for quality assessment of image processing algorithms
| Parent link: | Journal of Physics: Conference Series Vol. 1862 : Electronic Devices and Control Systems (EDCS 2020).— 2021.— [012011, 6 p.] |
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| Zusammenfassung: | Title screen Quality criteria are the essence of a measurement system. The goal of assessing the quality of software elements (algorithms) used for image processing is to ensure control of technical performance indicators of the system as a whole or its individual functional units under the reduction of costs associated with minimizing the loss function (tuning and debugging). The correct choice of individual metrics for the generalized quality indicator to solve tasks in a particular subject area is one of the key steps in system optimization. It ensures the most flexible approach to testing the developed software elements, identifying and eliminating their functional shortcomings. At the same time, we can say that in this way the generalized indicator of the entire system (its goal function) is optimized. |
| Sprache: | Englisch |
| Veröffentlicht: |
2021
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| Online-Zugang: | http://earchive.tpu.ru/handle/11683/72811 https://doi.org/10.1088/1742-6596/1862/1/012011 |
| Format: | Elektronisch Buchkapitel |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=665273 |
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| 200 | 1 | |a Improving the criteria for quality assessment of image processing algorithms |f A. I. Kochegurov, D. V. Dubinin, V. E. Geringer | |
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| 330 | |a Quality criteria are the essence of a measurement system. The goal of assessing the quality of software elements (algorithms) used for image processing is to ensure control of technical performance indicators of the system as a whole or its individual functional units under the reduction of costs associated with minimizing the loss function (tuning and debugging). The correct choice of individual metrics for the generalized quality indicator to solve tasks in a particular subject area is one of the key steps in system optimization. It ensures the most flexible approach to testing the developed software elements, identifying and eliminating their functional shortcomings. At the same time, we can say that in this way the generalized indicator of the entire system (its goal function) is optimized. | ||
| 461 | 0 | |0 (RuTPU)RU\TPU\network\3526 |t Journal of Physics: Conference Series | |
| 463 | |t Vol. 1862 : Electronic Devices and Control Systems (EDCS 2020) |o The 16th International Conference 18-20 November 2020, Tomsk, Russia |v [012011, 6 p.] |d 2021 | ||
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| 700 | 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 | |
| 701 | 1 | |a Dubinin |b D. V. |g Dmitry Vladimirovich | |
| 701 | 1 | |a Geringer |b V. E. |g Viktor Evgenjevich | |
| 712 | 0 | 2 | |a Национальный исследовательский Томский политехнический университет |b Инженерная школа информационных технологий и робототехники |b Отделение информационных технологий |3 (RuTPU)RU\TPU\col\23515 |
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