ARCHIVES
Research Article
Reconnoitering Image Segmentation Methods: Techniques, Challenges, and Trends
Srishty Jain1
Meenakshi Arora2
Rohini Sharma3
1P.G. Student, Department of CSE, Sat Kabir Institute of Technology and Management, Bahadurgarh, Haryana, India. 2Assistant Professor, of CSE, Sat Kabir Institute of Technology and Management, Bahadurgarh, Haryana, India. 3 Assistant Professor, CS, GPGCW, Rohtak, Haryana, India
Published Online: May-June 2024
Pages: 72-77
Cite this article
No DOIAbstract
Image segmentation is a fundamental process in computer vision and image analysis, involving the partitioning of an image into meaningful regions or segments. This review provides a comprehensive overview of various image segmentation techniques, highlighting their methodologies, applications, strengths, and limitations. Over the years, various segmentation methods have been developed, each with its advantages and drawbacks. This review covers traditional methods, machine learning approaches, and modern deep learning techniques
Related Articles
2024
Advancements in Machine Learning: A Comprehensive Exploration of Methods, Applications, and Future Perspectives
2024
Optimizing the Future: Unveiling the Significance of MLOps in Streamlining the Machine Learning Lifecycle
2024
A Comparative Study on Loan Status: Utilizing Machine Learning Algorithms for Predictive Analysis
2024
Financial Technology (Fintech) and Banking Industry Transformation: A Symbiotic Evolution into the Digital Era
2024
Machine Learning for Web Vulnerability Detection: The Case of Cross-Site Request Forgery
2024