An Integer Programming Approach to Image Segmentation and Reconstruction Problems

Geir Dahl () and Truls Flatberg ()
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Geir Dahl: University of Oslo, Center of Mathematics for Applications
Truls Flatberg: SINTEF ICT, Applied Mathematics

A chapter in Geometric Modelling, Numerical Simulation, and Optimization, 2007, pp 475-496 from Springer

Abstract: Abstract This paper discusses segmentation and reconstruction problems using a integer linear programming approach. These problems have important applications in remote sensing, medical image analysis and industrial inspection. We focus on methods that produce optimal or near-optimal solutions for the corresponding optimization problems. We show that for the two problems one may use similar ideas in both modeling and solution methods. These methods are based on Lagrangian decomposition and dynamic programming for certain subproblems (associated with lines in the image). Some computational experiences are also reported.

Keywords: Image analysis; segmentation; reconstruction; integer programming (search for similar items in EconPapers)
Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-68783-2_14

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DOI: 10.1007/978-3-540-68783-2_14

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