Modified Method for Detecting Small Structures in Noisy Images
- Authors: Likhachev A.V.1
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Affiliations:
- Institute of Automation and Electrometry, Siberian Branch
- Issue: Vol 55, No 6 (2019)
- Pages: 580-586
- Section: 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
Cite item
Abstract
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.
About the authors
A. V. Likhachev
Institute of Automation and Electrometry, Siberian Branch
Author for correspondence.
Email: ipm1@iae.nsk.su
Russian Federation, pr. Akademika Koptyuga 1, Novosibirsk, 630090
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