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What is Comparative Study of Image Segmentation Methods about?
This paper presents a comparative study of various image segmentation methods, highlighting their principles and applications. It categorizes segmentation techniques into semi-interactive and fully automatic approaches, discussing methods such as intensity-based, discontinuity-based, and clustering methods. The study emphasizes the importance of segmentation in fields like medical imaging and computer vision, while also addressing the challenges and limitations of different algorithms.
- Author
- Hitesh Mohanty
- Language
- EN