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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Published in:13th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2023
Main Author: Baharin M.A.S.K.; Ghani A.S.A.; Amri S.Q.S.; Mohammad-Noor N.; Ismail H.N.
Format: Conference paper
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2023
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165176128&doi=10.1109%2fISCAIE57739.2023.10165175&partnerID=40&md5=80ca96577bb0d618063aaf31284a27b5
id 2-s2.0-85165176128
spelling 2-s2.0-85165176128
Baharin M.A.S.K.; Ghani A.S.A.; Amri S.Q.S.; Mohammad-Noor N.; Ismail H.N.
Enhancement of Low-Quality Diatom Images using Integrated Automatic Background Removal (IABR) Method from Digital Microscopic Image
2023
13th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2023


10.1109/ISCAIE57739.2023.10165175
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165176128&doi=10.1109%2fISCAIE57739.2023.10165175&partnerID=40&md5=80ca96577bb0d618063aaf31284a27b5
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. © 2023 IEEE.
Institute of Electrical and Electronics Engineers Inc.

English
Conference paper

author Baharin M.A.S.K.; Ghani A.S.A.; Amri S.Q.S.; Mohammad-Noor N.; Ismail H.N.
spellingShingle Baharin M.A.S.K.; Ghani A.S.A.; Amri S.Q.S.; Mohammad-Noor N.; Ismail H.N.
Enhancement of Low-Quality Diatom Images using Integrated Automatic Background Removal (IABR) Method from Digital Microscopic Image
author_facet Baharin M.A.S.K.; Ghani A.S.A.; Amri S.Q.S.; Mohammad-Noor N.; Ismail H.N.
author_sort Baharin M.A.S.K.; Ghani A.S.A.; Amri S.Q.S.; Mohammad-Noor N.; Ismail H.N.
title 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_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_sort Enhancement of Low-Quality Diatom Images using Integrated Automatic Background Removal (IABR) Method from Digital Microscopic Image
publishDate 2023
container_title 13th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2023
container_volume
container_issue
doi_str_mv 10.1109/ISCAIE57739.2023.10165175
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165176128&doi=10.1109%2fISCAIE57739.2023.10165175&partnerID=40&md5=80ca96577bb0d618063aaf31284a27b5
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. © 2023 IEEE.
publisher Institute of Electrical and Electronics Engineers Inc.
issn
language English
format Conference paper
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record_format scopus
collection Scopus
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