Enhancement of Low-Quality Diatom Images using Integrated Automatic Background Removal (IABR) Method from Digital Microscopic Image

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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Bibliographic Details
Main Authors: Mohd Aiman Syahmi, Kamarul baharin, Ahmad Shahrizan, Abdul Ghani, Syafiq Qhushairy, Syamsul Amri, Normawaty, Mohammad-Noor, Hasnun Nita, Ismail
Format: Conference or Workshop Item
Language:English
English
Published: IEEE 2023
Subjects:
T Technology (General)
TJ Mechanical engineering and machinery
Online Access:http://umpir.ump.edu.my/id/eprint/37935/
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

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