Comparative Analysis of Discrete Subtraction and Cross-Correlation for Subpixel Object Tracking
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Título: | Comparative Analysis of Discrete Subtraction and Cross-Correlation for Subpixel Object Tracking |
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Autor/es: | Ferrer, Belén | Tomás López, María Baralida | Wan, Min | Sheridan, John T. | Mas, David |
Grupo/s de investigación o GITE: | Grupo de Análisis de Imagen, Sistemas Ópticos y Visión (IMAOS+V) |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Ingeniería Civil | Universidad de Alicante. Departamento de Óptica, Farmacología y Anatomía |
Palabras clave: | Subpixel tracking | Cross-correlation | Discrete subtraction | Image processing |
Fecha de publicación: | 17-jul-2023 |
Editor: | MDPI |
Cita bibliográfica: | Ferrer B, Tomás M-B, Wan M, Sheridan JT, Mas D. Comparative Analysis of Discrete Subtraction and Cross-Correlation for Subpixel Object Tracking. Applied Sciences. 2023; 13(14):8271. https://doi.org/10.3390/app13148271 |
Resumen: | Many applications in physics and engineering require non-invasive, precise object tracking, which can be achieved with image processing methods at very good cost-efficiency ratios. The traditional method for measuring displacement with subpixel resolution involves cross-correlation between images and interpolation of the correlation peak. While this method enables target tracking with a resolution of thousandths of a pixel, it is computationally intensive and susceptible to peak-locking errors. Recently, a new method based on discrete subtraction between images has been presented as an alternative to cross-correlation to improve computational efficiency, which also results in being free of peak-locking errors. This manuscript presents an experimental evaluation of the performance of the discrete subtraction method (DSM) and compares it with the cross-correlation method in terms of subpixel accuracy and deviation errors. Four different targets were used with apparent displacements as small as 0.002 px, which approaches the theoretical digital resolution limit. The results show that the discrete subtraction method is more sensitive to noise but does not suffer from peak-locking error, thus being a reliable alternative to the correlation method, mainly for calibration processes. |
Patrocinador/es: | This research was funded by CELTA, No. 675683; Science Foundation Ireland (SFI); Irish Research Council for Science, Engineering and Technology (IRCSET); and Enterprise Ireland (EI) under the National Development Plan (NDP); the Spanish Ministry of Science and Innovation through the project PID2021-126485OB-I00. |
URI: | http://hdl.handle.net/10045/136732 |
ISSN: | 2076-3417 |
DOI: | 10.3390/app13148271 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.3390/app13148271 |
Aparece en las colecciones: | INV - IMAOS+V - Artículos de Revistas |
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Ferrer_etal_2023_ApplSci.pdf | 4,76 MB | Adobe PDF | Abrir Vista previa | |
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