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Segmentation and analysis of volume images, with applications

Malmberg, Filip (2008). Segmentation and analysis of volume images, with applications. Uppsala : Sveriges lantbruksuniv. , Licentiate thesis / Centre for Image Analysis, Swedish University of Agricultural Sciences, Uppsala University, 1404-0301 ; 8
ISBN 91-576-5654-1
[Licentiate thesis]

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Digital image analysis is the field of extracting relevant information from digital images. Recent developments in imaging techniques have made 3-dimensional volume images more common. This has created a need to extend existing 2D image analysis tools to handle images of higher dimensions. Such extensions are usually not straightforward. In many cases, the theoretical and computational complexity of a problem increases dramatically when an extra dimension is added. A fundamental problem in image analysis is image segmentation, i.e., identifying and separating relevant objects and structures in an image. Accurate segmentation is often required for further processing and analysis of the image can be applied. Despite years of active research, general image segmentation is still seen as an unsolved problem. This mainly due to the fact that it is hard to identify objects from image data only. Often, some high-level knowledge about the objects in the image is needed. This high-level knowledge may be provided in different ways. For fully automatic segmentation, the high-level knowledge must be incorporated in the segmentation algorithm itself. In interactive applications, a human user may provide high-level knowledge by guiding the segmentation process in various ways. The aim of the work presented here is to develop segmentation and analysis tools for volume images. To limit the scope, the focus has been on two specific applications of volume image analysis: analysis of volume images of fibrous materials and interactive segmentation of medical images. The respective image analysis challenges of these two applications will be discussed. While the work has been focused on these two applications, many of the results presented here are applicable to other image analysis problems.

Authors/Creators:Malmberg, Filip
Title:Segmentation and analysis of volume images, with applications
Series Name/Journal:Licentiate thesis / Centre for Image Analysis, Swedish University of Agricultural Sciences, Uppsala University
Year of publishing :2008
Number of Pages:24
ALLBinarization of Phase Contrast Volume Images of Fibrous Materials. F. Malmberg, C. Östlund and G. Borgefors. Submitted for journal publication. Measuring Fibre-fibre Bonds in 3D images of Fibrous Materials. F. Malmberg, J. Lindblad, C. Östlund, K.M. Almgren and E.K. Gamstedt. Accepted for publication in Proceedings of 13th European Conference on Composite Materials (ECCM 13), Stockholm, Sweden, 2008. A 3D live-wire segmentation method for volume images using haptic interaction. F. Malmberg, E. Vidholm and I. Nyström. In Proceedings of 13th International Conference on Discrete Geometry for Computer Imagery (DGCI 2006), Szeged, Hungary, 2006. LNCS vol. 4245, 2006, Pages 663 - 673. Minimal Cost-Path for Path-Based Distances. R. Strand, F. Malmberg and S. Svensson. In Proceedings of 5th International Symposium on Image and Signal Processing and Analysis (ISPA 2007), Istanbul, Turkey, 2007. Pages 379-384.
Place of Publication:Uppsala
ISBN for printed version:91-576-5654-1
Publication Type:Licentiate thesis
Full Text Status:Public
Agrovoc terms:image analysis, image processing, imagery, fibres
Keywords:volume images, image segmentation
Permanent URL:
ID Code:1690
Department:(S) > Centre for Image Analysis
Deposited By: Filip Malmberg
Deposited On:14 Feb 2008 00:00
Metadata Last Modified:02 Dec 2014 10:13

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