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

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

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Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: diatom; integrated automatic background removal; image enhancement; image smoothing
Subjects: T Technology > T Technology (General)
T Technology > TJ Mechanical engineering and machinery
Faculty/Division: Institute of Postgraduate Studies
Faculty of Manufacturing and Mechatronic Engineering Technology
Depositing User: Miss Amelia Binti Hasan
Date Deposited: 05 Jul 2023 04:11
Last Modified: 15 Nov 2023 03:12
URI: http://umpir.ump.edu.my/id/eprint/37935
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