Enhancement of Low-Quality Diatom Images using Integrated Automatic Background Removal (IABR) Method from Digital Microscopic Image
Most diatom images scanned from digital microscopes suffer from low contrast, noise, and contain unwanted floating particles and debris in a single image. Moreover, the active movement of diatom along with poor lens focusing produces a blurred image. Thus, in this paper, we introduce a new integrate...
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Main Authors: | , , , , |
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Format: | Conference or Workshop Item |
Language: | English English |
Published: |
IEEE
2023
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Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/37935/1/Enhancement%20of%20Low-Quality%20Diatom%20Images%20using%20Integrated%20Automatic.pdf http://umpir.ump.edu.my/id/eprint/37935/2/Enhancement%20of%20Low-Quality%20Diatom%20Images%20using%20Integrated%20Automatic%20Background%20Removal%20%28IABR%29%20Method%20from%20Digital%20Microscopic%20Image.pdf http://umpir.ump.edu.my/id/eprint/37935/ https://doi.org/10.1109/ISCAIE57739.2023.10165175 |
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http://umpir.ump.edu.my/id/eprint/37935/1/Enhancement%20of%20Low-Quality%20Diatom%20Images%20using%20Integrated%20Automatic.pdfhttp://umpir.ump.edu.my/id/eprint/37935/2/Enhancement%20of%20Low-Quality%20Diatom%20Images%20using%20Integrated%20Automatic%20Background%20Removal%20%28IABR%29%20Method%20from%20Digital%20Microscopic%20Image.pdf
http://umpir.ump.edu.my/id/eprint/37935/
https://doi.org/10.1109/ISCAIE57739.2023.10165175