Titlebook: Visualization and Processing of Tensor Fields; Joachim Weickert,Hans Hagen Book 2006 Springer-Verlag Berlin Heidelberg 2006 3D.differentia

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1612-3786 nd journal papers.Matrix-valued data sets – so-called second order tensor fields – have gained significant importance in scientific visualization and image processing due to recent developments such as diffusion tensor imaging. This book is the first edited volume that presents the state of the art

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A. Vilanova,S. Zhang,G. Kindlmann,D. Laidlawnagement to free market economy. This chapter deals with the nature of that transition, with reference to Mozambique’s manufacturing sector. In particular, the chapter is concerned with the response of the manufacturing sector to the stabilisation and structural adjustment programme.

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Adaptive Structure Tensors and their Applications estimation of orientation and the local analysis of structure in general. It is based on the integration of data from a local neighborhood. Normally, this neighborhood is defined by a Gaussian window function and the structure tensor is computed by the weighted sum within this window. Some recently

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Low-level Feature Detection Using the Boundary Tensorngth and orientation in a way that is easy to work with. However, traditional approaches to define feature tensors have a number of disadvantages. By means of the first and second order ., we propose a new approach called the .. Using quadratic convolution equations, we show that the boundary tensor

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An Introduction to Computational Diffusion MRI: the Diffusion Tensor and Beyondoduces the philosophies underlying the technique and shows how to sensitize MRI measurements to the motion of particles within a sample material. The main body of the chapter is a technical review of diffusion MRI reconstruction algorithms, which determine features of the material microstructure fro

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