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A multilevel thresholding algorithm for image segmentation based on barnacle mating optimization

One of the most crucial topics in the study of image segmentation is multilevel thresholding. However, as the number of thresholds rises, the computing cost of multilayer thresholding grows exponentially. This paper proposes a novel multilevel thresholding method based on Barnacles Mating Optimizati...

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Main Authors: Nurul Farhana, Mohd Fakri, Nor Farizan, Zakaria, Mohd Herwan, Sulaiman, Rohana, Abdul Karim, Nurul Wahidah, Arshad, Yasmin, Abdul Wahab
Format: Conference or Workshop Item
Language:English
English
Published: Institution of Engineering and Technology 2022
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/41953/1/A%20multilevel%20thresholding%20algorithm%20for%20image%20segmentation.pdf
http://umpir.ump.edu.my/id/eprint/41953/2/A%20multilevel%20thresholding%20algorithm%20for%20image%20segmentation%20based%20on%20barnacle%20mating%20optimization_ABS.pdf
http://umpir.ump.edu.my/id/eprint/41953/
https://doi.org/10.1049/icp.2022.2672
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spelling my.ump.umpir.419532024-08-30T00:22:06Z http://umpir.ump.edu.my/id/eprint/41953/ A multilevel thresholding algorithm for image segmentation based on barnacle mating optimization Nurul Farhana, Mohd Fakri Nor Farizan, Zakaria Mohd Herwan, Sulaiman Rohana, Abdul Karim Nurul Wahidah, Arshad Yasmin, Abdul Wahab T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering One of the most crucial topics in the study of image segmentation is multilevel thresholding. However, as the number of thresholds rises, the computing cost of multilayer thresholding grows exponentially. This paper proposes a novel multilevel thresholding method based on Barnacles Mating Optimization (BMO) to address this disadvantage. The way that barnacles naturally mate was a major source of inspiration for BMO. This bio-inspired approach is used to solve multilevel thresholding issues by applying Otsu's between-class variance and Kapur's entropy functions to determine the ideal threshold configuration. Using more than one threshold, multilevel thresholding separates pixels of the image into multiple classes that permit the analysis of the objects in the image. The results are compared with those of other methods found in the literature review. Institution of Engineering and Technology 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/41953/1/A%20multilevel%20thresholding%20algorithm%20for%20image%20segmentation.pdf pdf en http://umpir.ump.edu.my/id/eprint/41953/2/A%20multilevel%20thresholding%20algorithm%20for%20image%20segmentation%20based%20on%20barnacle%20mating%20optimization_ABS.pdf Nurul Farhana, Mohd Fakri and Nor Farizan, Zakaria and Mohd Herwan, Sulaiman and Rohana, Abdul Karim and Nurul Wahidah, Arshad and Yasmin, Abdul Wahab (2022) A multilevel thresholding algorithm for image segmentation based on barnacle mating optimization. In: IET Conference Proceedings. 2022 Engineering Technology International Conference, ETIC 2022 , 7 - 8 September 2022 , Kuantan, Virtual. pp. 504-511., 2022 (22). ISSN 2732-4494 ISBN 978-183953782-0 (Published) https://doi.org/10.1049/icp.2022.2672
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Nurul Farhana, Mohd Fakri
Nor Farizan, Zakaria
Mohd Herwan, Sulaiman
Rohana, Abdul Karim
Nurul Wahidah, Arshad
Yasmin, Abdul Wahab
A multilevel thresholding algorithm for image segmentation based on barnacle mating optimization
description One of the most crucial topics in the study of image segmentation is multilevel thresholding. However, as the number of thresholds rises, the computing cost of multilayer thresholding grows exponentially. This paper proposes a novel multilevel thresholding method based on Barnacles Mating Optimization (BMO) to address this disadvantage. The way that barnacles naturally mate was a major source of inspiration for BMO. This bio-inspired approach is used to solve multilevel thresholding issues by applying Otsu's between-class variance and Kapur's entropy functions to determine the ideal threshold configuration. Using more than one threshold, multilevel thresholding separates pixels of the image into multiple classes that permit the analysis of the objects in the image. The results are compared with those of other methods found in the literature review.
format Conference or Workshop Item
author Nurul Farhana, Mohd Fakri
Nor Farizan, Zakaria
Mohd Herwan, Sulaiman
Rohana, Abdul Karim
Nurul Wahidah, Arshad
Yasmin, Abdul Wahab
author_facet Nurul Farhana, Mohd Fakri
Nor Farizan, Zakaria
Mohd Herwan, Sulaiman
Rohana, Abdul Karim
Nurul Wahidah, Arshad
Yasmin, Abdul Wahab
author_sort Nurul Farhana, Mohd Fakri
title A multilevel thresholding algorithm for image segmentation based on barnacle mating optimization
title_short A multilevel thresholding algorithm for image segmentation based on barnacle mating optimization
title_full A multilevel thresholding algorithm for image segmentation based on barnacle mating optimization
title_fullStr A multilevel thresholding algorithm for image segmentation based on barnacle mating optimization
title_full_unstemmed A multilevel thresholding algorithm for image segmentation based on barnacle mating optimization
title_sort multilevel thresholding algorithm for image segmentation based on barnacle mating optimization
publisher Institution of Engineering and Technology
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/41953/1/A%20multilevel%20thresholding%20algorithm%20for%20image%20segmentation.pdf
http://umpir.ump.edu.my/id/eprint/41953/2/A%20multilevel%20thresholding%20algorithm%20for%20image%20segmentation%20based%20on%20barnacle%20mating%20optimization_ABS.pdf
http://umpir.ump.edu.my/id/eprint/41953/
https://doi.org/10.1049/icp.2022.2672
_version_ 1822924598875783168
score 13.232406

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