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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Segmentation of Tensor Fields: Recent Advances and Perspectives
verfasst von : Rodrigo de Luis-García, Carlos Alberola-López, Carl-Fredrik Westin
Erschienen in: Tensors in Image Processing and Computer Vision
Verlag: Springer London
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The segmentation of tensor-valued images or 3D volumes is a relatively recent issue in image processing, but a significant effort has been made in the last years. Most of this effort has been focused on the segmentation of anatomical structures from DT-MRI (Diffusion Tensor Magnetic Resonance Imaging), and some contributions have also been made for the segmentation of 2D textured images using the Local Structure Tensor (LST). In this chapter, we carefully review the state of the art in the segmentation of tensor fields. We will discuss the main approaches that have been proposed in the literature, with particular emphasis on the importance of the different tensor dissimilarity measures. Also, we will highlight the key limitations of the segmentation techniques proposed so far, and will provide some insight on the directions of current research.