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An Algorithm for FPGA-based Segmentation of Binary Images. / Romanov, Alexey M.; Vasiliev, Anton V.; Khalyasmaa, Alexandra I.
2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2022. Institute of Electrical and Electronics Engineers Inc., 2022. стр. 760-765.

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Harvard

Romanov, AM, Vasiliev, AV & Khalyasmaa, AI 2022, An Algorithm for FPGA-based Segmentation of Binary Images. в 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2022. Institute of Electrical and Electronics Engineers Inc., стр. 760-765, 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON), 11/11/2022. https://doi.org/10.1109/SIBIRCON56155.2022.10016970

APA

Romanov, A. M., Vasiliev, A. V., & Khalyasmaa, A. I. (2022). An Algorithm for FPGA-based Segmentation of Binary Images. в 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2022 (стр. 760-765). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIBIRCON56155.2022.10016970

Vancouver

Romanov AM, Vasiliev AV, Khalyasmaa AI. An Algorithm for FPGA-based Segmentation of Binary Images. в 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2022. Institute of Electrical and Electronics Engineers Inc. 2022. стр. 760-765 doi: 10.1109/SIBIRCON56155.2022.10016970

Author

Romanov, Alexey M. ; Vasiliev, Anton V. ; Khalyasmaa, Alexandra I. / An Algorithm for FPGA-based Segmentation of Binary Images. 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2022. Institute of Electrical and Electronics Engineers Inc., 2022. стр. 760-765

BibTeX

@inproceedings{27326e50b11e4573879ff0c17727176f,
title = "An Algorithm for FPGA-based Segmentation of Binary Images",
abstract = "This paper proposes a new single-scan algorithm for segmenting the independent regions from binary images, evaluating their boundaries, and coordinates of centroids. Its main benefit, compared to the known solutions, is that it does not require changing the original image or creating a new one with a similar size to store labeling information. Particular attention in the development of the algorithm is paid to reducing both the amount of memory needed to implement it and the number of records in memory during the scan. This makes it perfect for further FPGA implementation.",
author = "Romanov, {Alexey M.} and Vasiliev, {Anton V.} and Khalyasmaa, {Alexandra I.}",
note = " The contribution of A.M. Romanov to the research was funded by the Ministry of Science and Higher Education of the Russian Federation under Grant FSFZ-2020-0019.; 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON) ; Conference date: 11-11-2022 Through 13-11-2022",
year = "2022",
month = nov,
day = "11",
doi = "10.1109/SIBIRCON56155.2022.10016970",
language = "English",
isbn = "978-166546480-2",
pages = "760--765",
booktitle = "2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",

}

RIS

TY - GEN

T1 - An Algorithm for FPGA-based Segmentation of Binary Images

AU - Romanov, Alexey M.

AU - Vasiliev, Anton V.

AU - Khalyasmaa, Alexandra I.

N1 - The contribution of A.M. Romanov to the research was funded by the Ministry of Science and Higher Education of the Russian Federation under Grant FSFZ-2020-0019.

PY - 2022/11/11

Y1 - 2022/11/11

N2 - This paper proposes a new single-scan algorithm for segmenting the independent regions from binary images, evaluating their boundaries, and coordinates of centroids. Its main benefit, compared to the known solutions, is that it does not require changing the original image or creating a new one with a similar size to store labeling information. Particular attention in the development of the algorithm is paid to reducing both the amount of memory needed to implement it and the number of records in memory during the scan. This makes it perfect for further FPGA implementation.

AB - This paper proposes a new single-scan algorithm for segmenting the independent regions from binary images, evaluating their boundaries, and coordinates of centroids. Its main benefit, compared to the known solutions, is that it does not require changing the original image or creating a new one with a similar size to store labeling information. Particular attention in the development of the algorithm is paid to reducing both the amount of memory needed to implement it and the number of records in memory during the scan. This makes it perfect for further FPGA implementation.

UR - http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85147516761

U2 - 10.1109/SIBIRCON56155.2022.10016970

DO - 10.1109/SIBIRCON56155.2022.10016970

M3 - Conference contribution

SN - 978-166546480-2

SP - 760

EP - 765

BT - 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)

Y2 - 11 November 2022 through 13 November 2022

ER -

ID: 34716243