Abstract
The marker-based watershed segmentation algorithm is the main topic of this study. Because the watershed segmentation method over segments the image and produces noise, As a result, numerous academics have put forth various solutions to this challenge, but markercontrolled watersheds are by far the greatest option. Finding the gaps in the body of literature is the main goal of this paper. Reviewing the various segmentation strategies, it was discovered that marker-based segmentation is optimal in most situations since it labels the regions before segmenting them. Yet further research is needed to optimise the marking zones.
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