EVALUATING IMAGE SEGMENTATION TECHNIQUES: A COMPARATIVE APPROACH
DOI:
https://doi.org/10.29121/shodhkosh.v5.i6.2024.4357Keywords:
Image Segmentation, Otsu’s Method, Edge Detection, Region-Based Segmentation, Clustering, Deep LearningAbstract [English]
Image segmentation plays a crucial role in image analysis, computer vision, and pattern recognition. It involves partitioning an image into meaningful regions to facilitate further analysis. Various segmentation techniques exist, including threshold-based methods, edge detection algorithms, region-based approaches, clustering techniques, and deep learning-based segmentation. This paper presents an overview of different segmentation methods, their comparative analysis, and practical implementation in Python.
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Copyright (c) 2024 Shaheena K.V, Dhanalakshmi S
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