A Survey of Image Segmentation Based on Evolutionary Computation and Clustering Techniques

Image segmentation is treated as the fundamental problem in image processing.Its execution has a notable impact on further analysis.However, there exist many algorithms and approaches for image segmentation.Evolutionary Computation Algorithms have been given considerable attention in the area of image segmentation due to their capability in providing optimal solutions for many practical applications.Meanwhile, Clustering is also one of the commonly used image segmentation techniques.There are rarely any exhaustive surveys on Evolutionary Computation and Clustering Algorithms based on image segmentation methods, which can entitle the researchers to obtain a quick perception of these areas and compare the existing methods.Therefore, this survey briefly discusses some of the works done by the researchers using Evolutionary Computation and Clustering Algorithms.This survey leads to the conclusion that the field of Evolutionary Computation is growing fast.The continuous advancement of Evolutionary Computation will surely help to resolve many complex image segmentation tasks in the future.

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Publication Details

Journal
International Journal of Computer Applications
Published
2025-04-25
DOI
https://doi.org/10.5120/ijca2025924739
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

A Survey of Image Segmentation Based on Evolutionary Computation and Clustering Techniques

J. Hajiram Beevi, A. R. Mohamed Shanavas, O.A. Mohamed Jafar
International Journal of Computer Applications
Industrial Vision Systems and Defect Detection
article

A Survey of Image Segmentation Based on Evolutionary Computation and Clustering Techniques

J. Hajiram Beevi, A. R. Mohamed Shanavas, O.A. Mohamed Jafar
article en

Abstract

Image segmentation is treated as the fundamental problem in image processing.Its execution has a notable impact on further analysis.However, there exist many algorithms and approaches for image segmentation.Evolutionary Computation Algorithms have been given considerable attention in the area of image segmentation due to their capability in providing optimal solutions for many practical applications.Meanwhile, Clustering is also one of the commonly used image segmentation techniques.There are rarely any exhaustive surveys on Evolutionary Computation and Clustering Algorithms based on image segmentation methods, which can entitle the researchers to obtain a quick perception of these areas and compare the existing methods.Therefore, this survey briefly discusses some of the works done by the researchers using Evolutionary Computation and Clustering Algorithms.This survey leads to the conclusion that the field of Evolutionary Computation is growing fast.The continuous advancement of Evolutionary Computation will surely help to resolve many complex image segmentation tasks in the future.

International Journal of Computer ApplicationsVol. 186(80)
Bharathidasan University (IN)
Openalex Percentile: Top 89%
Industrial Vision Systems and Defect Detection
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A Survey of Image Segmentation Based on Evolutionary Computation and Clustering Techniques — J. Hajiram Beevi, A. R. Mohamed Shanavas, et al. · International Journal of Computer Applications (2025) | TGRS Research Map | TGRS