Reconnoitering Image Segmentation Methods: Techniques, Challenges, and Trends

Srishty Jain; Meenakshi Arora; Rohini Sharma

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Research Article

Reconnoitering Image Segmentation Methods: Techniques, Challenges, and Trends

Srishty Jain1Meenakshi Arora2Rohini 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

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Abstract

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

ARCHIVES

Reconnoitering Image Segmentation Methods: Techniques, Challenges, and Trends

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

Abstract

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