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...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
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IEEE
2023
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| Subjects: | |
| 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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| author | Mohd Aiman Syahmi, Kamarul baharin Ahmad Shahrizan, Abdul Ghani Syafiq Qhushairy, Syamsul Amri Normawaty, Mohammad-Noor Hasnun Nita, Ismail |
| author_facet | Mohd Aiman Syahmi, Kamarul baharin Ahmad Shahrizan, Abdul Ghani Syafiq Qhushairy, Syamsul Amri Normawaty, Mohammad-Noor Hasnun Nita, Ismail |
| author_sort | Mohd Aiman Syahmi, Kamarul baharin |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | 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 integrated automatic background removal technique (IABR) to enhance low-quality microscopic diatom images. This paper describes a two-step process of microscopic diatom image for image smoothing. First, haze removal technique is applied to the low light image to enhance and removes the image from haze and noise. Second, the background removal technique extracts the diatom cell from the background image and improves the image contrast. The output results show that the proposed IABR method has successfully enhanced and smooths low-quality diatom images by removing the image background and improving image contrast. |
| first_indexed | 2025-11-15T03:28:04Z |
| format | Conference or Workshop Item |
| id | ump-37935 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:28:04Z |
| publishDate | 2023 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-379352023-11-15T03:12:04Z http://umpir.ump.edu.my/id/eprint/37935/ Enhancement of Low-Quality Diatom Images using Integrated Automatic Background Removal (IABR) Method from Digital Microscopic Image Mohd Aiman Syahmi, Kamarul baharin Ahmad Shahrizan, Abdul Ghani Syafiq Qhushairy, Syamsul Amri Normawaty, Mohammad-Noor Hasnun Nita, Ismail T Technology (General) TJ Mechanical engineering and machinery 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 integrated automatic background removal technique (IABR) to enhance low-quality microscopic diatom images. This paper describes a two-step process of microscopic diatom image for image smoothing. First, haze removal technique is applied to the low light image to enhance and removes the image from haze and noise. Second, the background removal technique extracts the diatom cell from the background image and improves the image contrast. The output results show that the proposed IABR method has successfully enhanced and smooths low-quality diatom images by removing the image background and improving image contrast. IEEE 2023 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/37935/1/Enhancement%20of%20Low-Quality%20Diatom%20Images%20using%20Integrated%20Automatic.pdf pdf en 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 Mohd Aiman Syahmi, Kamarul baharin and Ahmad Shahrizan, Abdul Ghani and Syafiq Qhushairy, Syamsul Amri and Normawaty, Mohammad-Noor and Hasnun Nita, Ismail (2023) Enhancement of Low-Quality Diatom Images using Integrated Automatic Background Removal (IABR) Method from Digital Microscopic Image. In: 2023 IEEE 13th Symposium on Computer Applications & Industrial Electronics (ISCAIE) , 20-21 May 2023 , Penang, Malaysia. 256 -261.. ISBN 9798350347326 (Published) https://doi.org/10.1109/ISCAIE57739.2023.10165175 |
| spellingShingle | T Technology (General) TJ Mechanical engineering and machinery Mohd Aiman Syahmi, Kamarul baharin Ahmad Shahrizan, Abdul Ghani Syafiq Qhushairy, Syamsul Amri Normawaty, Mohammad-Noor Hasnun Nita, Ismail Enhancement of Low-Quality Diatom Images using Integrated Automatic Background Removal (IABR) Method from Digital Microscopic Image |
| title | Enhancement of Low-Quality Diatom Images using Integrated Automatic Background Removal (IABR) Method from Digital Microscopic Image |
| title_full | Enhancement of Low-Quality Diatom Images using Integrated Automatic Background Removal (IABR) Method from Digital Microscopic Image |
| title_fullStr | Enhancement of Low-Quality Diatom Images using Integrated Automatic Background Removal (IABR) Method from Digital Microscopic Image |
| title_full_unstemmed | Enhancement of Low-Quality Diatom Images using Integrated Automatic Background Removal (IABR) Method from Digital Microscopic Image |
| title_short | Enhancement of Low-Quality Diatom Images using Integrated Automatic Background Removal (IABR) Method from Digital Microscopic Image |
| title_sort | enhancement of low-quality diatom images using integrated automatic background removal (iabr) method from digital microscopic image |
| topic | T Technology (General) TJ Mechanical engineering and machinery |
| url | http://umpir.ump.edu.my/id/eprint/37935/ 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 |