Ant Colony Optimization: A Technique used for Image Processing

Ant colony optimization (ACO) is a technique which can be utilized for different applications. Ant colony Optimization is an optimization technique that depends on the rummaging conduct of genuine ant settlements. Ant colony optimization is applied for the picture handling which are on the premise constant optimization. This paper proposes an ant colony optimization (ACO) based calculation for persistent optimization issues on pictures like picture edge identification, picture pressure, picture division, underlying harm checking and so forth in picture handling. This paper addresses that how ACO is applied for different applications in picture handling. The calculation can track down the ideal answer for issue. The outcomes show achievability of the calculation as far as precision and ceaseless optimization.

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Publication Details

Journal
International Journal of Information Technology and Management
Published
2024-09-03
DOI
https://doi.org/10.29070/ftfw8q07
Citations
1
Primary Topic
Metaheuristic Optimization Algorithms Research
Type
article
Field-Weighted Citation Impact
0.35
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article

Ant Colony Optimization: A Technique used for Image Processing

Gaurav Khandelwal, Vishnu Sharma
1 citations
International Journal of Information Technology and Management
Metaheuristic Optimization Algorithms Research
0.35
article

Ant Colony Optimization: A Technique used for Image Processing

Gaurav Khandelwal, Vishnu Sharma
article en
1 citations

Abstract

Ant colony optimization (ACO) is a technique which can be utilized for different applications. Ant colony Optimization is an optimization technique that depends on the rummaging conduct of genuine ant settlements. Ant colony optimization is applied for the picture handling which are on the premise constant optimization. This paper proposes an ant colony optimization (ACO) based calculation for persistent optimization issues on pictures like picture edge identification, picture pressure, picture division, underlying harm checking and so forth in picture handling. This paper addresses that how ACO is applied for different applications in picture handling. The calculation can track down the ideal answer for issue. The outcomes show achievability of the calculation as far as precision and ceaseless optimization.

International Journal of Information Technology and ManagementVol. 18(2)
Openalex Percentile: Top 34%
Metaheuristic Optimization Algorithms Research
0.35
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