Improving the criteria for quality assessment of image processing algorithms

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 as...

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Published in:Journal of physics. Conference series Vol. 1862; no. 1; p. 12011
Main Authors: Dubinin, D V, Kochegurov, A I, Geringer, V E
Format: Journal Article
Language:English
Published: Bristol IOP Publishing 01.03.2021
Subjects:
Algorithms
Criteria
Image processing
Image quality
Optimization
Physics
Quality assessment
Software
Software quality
ISSN:1742-6588, 1742-6596
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Abstract 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.
AbstractList 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.
Author Geringer, V E
Dubinin, D V
Kochegurov, A I
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Cites_doi 10.1109/PROC.1979.11325
10.3390/jimaging4060074
10.1007/978-3-319-45243-2_17
10.1515/auto-2014-1031
10.37661/1816-0301-2020-17-1-87-101
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SubjectTerms Algorithms
Criteria
Image processing
Image quality
Optimization
Physics
Quality assessment
Software
Software quality
Title Improving the criteria for quality assessment of image processing algorithms
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