Abstract
The variational methods of image segmentation discussed in this book minimize functionals. In this chapter, we review some formulas we use repeatedly in the definition and minimization of these functionals: Euler-Lagrange equations, gradient descent minimization, level set representation. We also review optical flow basic expressions used in motion based segmentation.
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Mitiche, A., Ayed, I.B. (2010). Introductory Background. In: Variational and Level Set Methods in Image Segmentation. Springer Topics in Signal Processing, vol 5. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15352-5_2
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DOI: https://doi.org/10.1007/978-3-642-15352-5_2
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