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

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)

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Abstract

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.

Item Type:	Conference or Workshop Item (Lecture)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Barnacle mating optimization; Image segmentation; Kapur; Multilevel thresholding; OTSU
Subjects:	T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	College of Engineering Faculty of Electrical and Electronic Engineering Technology
Depositing User:	Mr Muhamad Firdaus Janih@Jaini
Date Deposited:	30 Aug 2024 00:22
Last Modified:	30 Aug 2024 00:22
URI:	http://umpir.ump.edu.my/id/eprint/41953
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