Improving the criteria for quality assessment of image processing algorithms

Improving the criteria for quality assessment of image processing algorithms

Bibliographic Details
Parent link:Journal of Physics: Conference Series
Vol. 1862 : Electronic Devices and Control Systems (EDCS 2020).— 2021.— [012011, 6 p.]
Main Author: Kochegurov A. I. Aleksandr Ivanovich
Corporate Author: Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники Отделение информационных технологий
Other Authors: Dubinin D. V. Dmitry Vladimirovich, Geringer V. E. Viktor Evgenjevich
Summary: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.
Published: 2021
Subjects:
электронный ресурс
труды учёных ТПУ
оценка качества
алгоритмы
обработка изображений
технические показатели
программное обеспечение
оптимизация
Online Access:http://earchive.tpu.ru/handle/11683/72811
https://doi.org/10.1088/1742-6596/1862/1/012011
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=665273

Similar Items

Similar Items