Improving the criteria for quality assessment of image processing algorithms; Journal of Physics: Conference Series; Vol. 1862 : Electronic Devices and Control Systems (EDCS 2020)

Detalhes bibliográficos
Parent link:Journal of Physics: Conference Series
Vol. 1862 : Electronic Devices and Control Systems (EDCS 2020).— 2021.— [012011, 6 p.]
Autor principal: Kochegurov A. I. Aleksandr Ivanovich
Autor Corporativo: Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники
Outros Autores: Dubinin D. V. Dmitry Vladimirovich, Geringer V. E. Viktor Evgenjevich
Resumo: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.
Idioma:inglês
Publicado em: 2021
Assuntos:
Acesso em linha:http://earchive.tpu.ru/handle/11683/72811
https://doi.org/10.1088/1742-6596/1862/1/012011
Formato: Recurso Eletrônico Capítulo de Livro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=665273