Fast Numerical Methods for Image Segmentation Models

Noor Badshah
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Noor Badshah: University of Engineering and Technology, Department of Basic Sciences

Chapter 12 in Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, 2023, pp 427-501 from Springer

Abstract: Abstract In this chapter, three different types of segmentation problems are studied, namely, two-phase segmentation problems, multiphase segmentation problems, and selective segmentation problems. Three types of numerical methods are discussed here as well. Some of them are time marching schemes, multigrid methods, and multilevel methods. Two types of minimization techniques are discussed, like L2 gradient minimization and Sobolev gradient-based minimization techniques. At the end two deep/machine learning approaches for segmentation of images are also presented.

Keywords: Image segmentation; Euler-Lagrange’s equations; Sobolev gradient; Finite differences; Machine learning; Deep learning (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-98661-2_121

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DOI: 10.1007/978-3-030-98661-2_121

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