Modified Method for Detecting Small Structures in Noisy Images
- Autores: Likhachev A.V.1
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Afiliações:
- Institute of Automation and Electrometry, Siberian Branch
- Edição: Volume 55, Nº 6 (2019)
- Páginas: 580-586
- Seção: Analysis and Synthesis of Signals and Images
- URL: https://journals.rcsi.science/8756-6990/article/view/212915
- DOI: https://doi.org/10.3103/S8756699019060074
- ID: 212915
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Resumo
A classifier for operation with 1-pixel image fragments is proposed. Element segmentation into object and background is performed based on posterior probabilities, which are calculated using a histogram. A simulation experiment has shown that the developed algorithm provides a more accurate classification than segmentation based on the brightness threshold determined from the minimum condition for the weighted sum of errors of the first and second kind.
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Sobre autores
A. Likhachev
Institute of Automation and Electrometry, Siberian Branch
Autor responsável pela correspondência
Email: ipm1@iae.nsk.su
Rússia, pr. Akademika Koptyuga 1, Novosibirsk, 630090
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