By Egil Bae, Xue-Cheng Tai (auth.), Xue-Cheng Tai, Knut Mørken, Marius Lysaker, Knut-Andreas Lie (eds.)
This ebook constitutes the refereed court cases of the second one overseas convention on Scale area equipment and Variational tools in machine imaginative and prescient, SSVM 2009, emanated from the joint variation of the fifth overseas Workshop on Variational, Geometric and point Set tools in machine imaginative and prescient, VLSM 2009 and the seventh overseas convention on Scale house and PDE equipment in computing device imaginative and prescient, Scale-Space 2009, held in Voss, Norway in June 2009.
The seventy one revised complete papers offered have been conscientiously reviewed and chosen quite a few submissions. The papers are equipped in topical sections on segmentation and detection; photo enhancement and reconstruction; movement research, optical movement, registration and monitoring; surfaces and shapes; scale house and have extraction.
Read or Download Scale Space and Variational Methods in Computer Vision: Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009. Proceedings PDF
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Extra info for Scale Space and Variational Methods in Computer Vision: Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009. Proceedings
In particular, the Mumford-Shah model  is widely used in this context. One of the diﬃculties of this and many other variational image processing models is that the underlying energy functional has local, non-global minima. This is not only a theoretical problem, since the commonly used numerical minimization techniques often get stuck in local minima that diﬀer considerably from a global minimum, hence possibly producing useless results. The goal of this paper is to introduce a method to obtain a global minimizer of the Mumford-Shah functional for 2-phase segmentation that only involves solving an unconstrained convex minimization problem.
L. ) MICCAI 1998. LNCS, vol. 1496, pp. 130–137. Springer, Heidelberg (1998) Tubular Anisotropy Segmentation 25 4. : A review of vessel extraction techniques and algorithms. ACM Computing Surveys 36, 81–121 (2004) 5. : Fast extraction of minimal paths in 3D images and applications to virtual endoscopy. MIA 5(4) (December 2001) 6. : Global minimum for active contour models: a minimal path approach. International Journal of Computer Vision 24, 57–78 (1997) 7. : Accurate anisotropic fast marching for diffusion-based geodesic tractography.
C4 (right) u0 as input image. e. u0 = χA for a set A ⊂ Ω and c1 = 0, c2 = 1 we have f1 = (χA − 0)2 = χA and f2 = (χA − 1)2 = χΩ\A and therefore E[u] = Ω (u − χΩ\A )2 + ν|∇u|dx, 36 B. Berkels Fig. 3. Segmentation of a digital photo (ν = 2 · 10−5 ). Input image u0 (left), segmentation in four (middle) and eight (right) segments colored with the average grey values of the segments. Original image c bigmama / PIXELIO. Fig. 4. e. E equals the ROF energy in this special case. This is not the case if u0 is non-binary which can be seen from the bottom row of Figure 1.
Scale Space and Variational Methods in Computer Vision: Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009. Proceedings by Egil Bae, Xue-Cheng Tai (auth.), Xue-Cheng Tai, Knut Mørken, Marius Lysaker, Knut-Andreas Lie (eds.)