Computer Science
8 years ago

Graph-based Image Segmentation Outperforms Watershed Algorithm, Reducing Over-segmentation and Noise.

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Lecture notes in computer science
Comparative Improvement of Image Segmentation Performance with Graph Based Method over Watershed Transform Image Segmentation
Suman Deb, Subarna Sinha

Paper Summary

The study compared two methods for dividing images into different parts: Watershed algorithm and graph-based segmentation. The researchers found that the graph-based method is more effective when there is a lot of noise in the image and helps to prevent over-segmentation. This means that using the graph-based method can give better results for color image segmentation compared to the Watershed algorithm.

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