Next Generation Multicuts for Semi-Planar Graphs
Julian Yarkony
TL;DR
This paper advances multicut segmentation techniques for semi-planar graphs by modifying existing methods with bounding Lagrange multipliers, demonstrating applications in natural image segmentation.
Contribution
It introduces modified semi-planar multicut algorithms using bounding Lagrange multipliers, enhancing segmentation performance on natural images.
Findings
Improved segmentation accuracy on natural images
Effective application of modified semi-planar multicut methods
Demonstrated benefits of bounding Lagrange multipliers
Abstract
We study the problem of multicut segmentation. We introduce modified versions of the Semi-PlanarCC based on bounding Lagrange multipliers. We apply our work to natural image segmentation.
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Taxonomy
TopicsDigital Image Processing Techniques · Medical Image Segmentation Techniques · Sparse and Compressive Sensing Techniques