Download PDF by João Manuel R.S. Tavares, R.M. Natal Jorge: Advances in Computational Vision and Medical Image

By João Manuel R.S. Tavares, R.M. Natal Jorge

ISBN-10: 1402090854

ISBN-13: 9781402090851

The current e-book includes prolonged types of papers offered within the overseas convention VIPIMAGE 2007 – ECCOMAS Thematic convention on Computational imaginative and prescient and clinical photo, held in Faculdade de Engenharia da Universidade do Porto, in 17-19 of October 2007. This convention used to be the 1st ECCOMAS thematic convention on computational imaginative and prescient and scientific picture processing. It covers issues comparable with snapshot processing and research, clinical imaging and computational modeling and simulation, contemplating their multidisciplinary. This ebook collects the state of the art learn, tools and new rules with reference to computational imaginative and prescient and scientific photo processing contributing for the improvement of those components of information.

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Additional resources for Advances in Computational Vision and Medical Image Processing: Methods and Applications (Computational Methods in Applied Sciences)

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A three-dimensional finite element method for large elastic deformations of ventricular myocardium: Ii - prolate spheroidal coordinates. Journal of Biomedical Engineering 118(4) (1996) 464–472 11. : A finite element model of passive ventricular mechanics. ASMS BED 9(1988) 387–397 12. : Computational Cardiology: Modeling of Anatomy, Electrophysiology, and Mechanics. LNCS 2966. Springer, Berlin, Heidelberg, New York (2004) 13. : Finite element modeling of blood flow in arteries. Computer Methods in Applied Mechanics and Engineering 158(1–2) (1998) 155–196 14.

2004) 1001–1004 40. : Fast algorithm for low-level vision. IEEE Transactions on Pattern Recognition and Machine Intelligence 12(1) (1990) 78–87 41. : Recursive implementation of the gaussian filter. Signal Processing 44(1995) 139–151 42. : A fundamental relationship between bilateral filtering, adaptive smoothing and the nonlinear diffusion equation. IEEE Transactions on Pattern Analysis and Machine Intelligence 24(6) (2002) 844–847 24 C. Bajaj and S. Goswami 43. : Fast bilateral filtering for the display of high-dynamic-range images.

13 shows the tetrahedral mesh cut-away for a template human heart. (b) B-Spline Elements: As the most highly developed and widely utilized technique, NURBS (Non Uniform Rational B-Splines) [156–158] has evolved into an essential tool for a semi-analytical representation of geometric entities. Sometimes NURBS solid models are taken as input for finite element mesh generation [159]. Anderson et al. proposed a fast generation of NURBS surfaces from polygonal mesh models of human anatomy [160]. An enhanced algorithm was developed for NURBS evaluation and utilization in grid generation [161].

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Advances in Computational Vision and Medical Image Processing: Methods and Applications (Computational Methods in Applied Sciences) by João Manuel R.S. Tavares, R.M. Natal Jorge


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