Mohd Aiman Syahmi, Kamarul Baharin and Ahmad Shahrizan, Abdul Ghani and Normawaty, Mohammad-Noor and Hasnun Nita, Ismail and Syafiq Qhushairy, Syamsul Amri (2022) Automatic phytoplankton image smoothing through integrated dual image histogram specification and enhanced background removal method. The Imaging Science Journal. pp. 1-23. ISSN 1368-2199 (Printed); 1743-131X. (Published)
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Abstract
Diatom is a dominant phytoplankton and commonly found in oceans or waterways. The captured phytoplankton microscopic images suffer from low contrast and surrounding debris. These images are not appropriated for identification. Integrated dual image contrast adaptive histogram specification with enhanced background removal (DIHS-BR) is proposed to address these issues by automatically removes the background of the phytoplankton image and improves the image quality while cropping phytoplankton cell. DIHS-BR will automatically remove the background and noises. DIHS-BR consists of two major steps, namely, contrast adaptive histogram specification and background removal by means of edge mask cropping. Results demonstrated that DIHS-BR filtered out the image background and left only the required phytoplankton cell image. Noises are minimized, while the contrast and colour of phytoplankton cells are improved. The average edge-based contrast measure (EBCM) of 83.065 demonstrates the best contrast improvement of the proposed methods compared with the other state-of-the-art methods.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Diatom; phytoplankton; image enhancement; edge; masking; image smoothing; image brightening; dual-image specification; background removal |
| Subjects: | T Technology > TJ Mechanical engineering and machinery T Technology > TS Manufactures |
| Faculty/Division: | Institute of Postgraduate Studies Faculty of Manufacturing and Mechatronic Engineering Technology |
| Depositing User: | Miss. Ratna Wilis Haryati Mustapa |
| Date Deposited: | 30 Nov 2022 09:49 |
| Last Modified: | 30 Nov 2022 09:49 |
| URI: | http://umpir.ump.edu.my/id/eprint/35805 |
| Download Statistic: | View Download Statistics |
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