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Live-Wire Segmentation: Pathways and Boundaries

Explore the powerful Live-Wire Segmentation method for image editing and analysis, discussing its benefits, limitations and improvements. Understand approaches with graphs and intelligent tools like Intelligentscissors and Live wire. Discover oriented boundaries, gradient magnitudes, and Laplacian zero-crossing.

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Live-Wire Segmentation: Pathways and Boundaries

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  1. Live-Wire Segmentation with "shortest path" By IlanSmoly

  2. What is segmentation?

  3. Approaches with graphs • Intelligentscissors and Live wire - Optimal path (Dijkstra) • Binary images posteriori estimation – Min-cut/Max-flow • Seeds – Min-cut/Max-flow with user inputs.

  4. Live - Wire

  5. The graph • Oriented Boundary • Intelligent Scissors

  6. Oriented Boundary • Intensity • Various gradient magnitude • Orientation-sensitive

  7. Intelligent Scissors • Laplacian Zero-Crossing • Magnitude: • Gradient Direction

  8. Shortest path with Laplacian cost

  9. Livewire on the Fly • A pruning of Dikstra • Stops when target is reached

  10. Results

  11. Results directionality Magnitude Power

  12. No magnitude • No Directionality • No Power

  13. Directionality = 13 • Power = 30 • Magnitude = 43

  14. Discussion • powerful and efficient tool for image editing and analyzing. • Medical use • Not reliable for long distance pathways

  15. Improvement • random long distance relations between pixels • Adopting the biological model

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