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- Vol. 4 Issue 3
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Reconnoitering Image Segmentation Methods: Techniques, Challenges, and Trends
Authors
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
Article Information
- DOI
- No DOI
- Published In
- Volume 4, Issue 3 (2024)
- Published Online
- May-June 2024
- Pages
- 72-77
- Article Type
- Research Article
- Check for updates
- No DOI available for cross-reference
Abstract
View PDFImage 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
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