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

• 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/37935/1/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

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...