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Ingela Nyström

Professor
Dept. of Information Technology
METU CENTER FOR IMAGE ANALYSIS (OGAM)
Sweden

Biography

Professor Ingela Nyström received the MSc degree in applied computer science and mathematics, and the PhD degree in computerized image analysis from Uppsala University, Sweden, in 1991, and in 1997, respectively. She is the Head of Division of Visual Information and Interaction (Vi2) at the Dept. of Information Technology, UU, and Director of the Centre for Image Analysis. During 2006-2011, she was the Director of the Uppsala Multidisciplinary Center for Advanced Computational Science (SNIC-UPPMAX) and during 2011-2015 Coordinator of eSSENCE, a strategic effort in e-Science. Her research interest is interactive segmentation, visualization, digital geometry, and quantitative shape analysis of volume images with their medical applications. During 2000-2012, she was a board member (President 2002-2006) of the Swedish Society for Automated Image Analysis (SSBA). Since 2008, she is member of the Executive Committee (2nd Vice-President 2008-2010, Secretary 2010-2014, President 2014-2016, Past President 2016-2018) of the International Association of Pattern Recognition (IAPR). She is Vice-Chair of the Council for Research Infrastructure (RFI), Vetenskapsrådet.

Research Interest

Reducing objects to "skeletons" in the process of quantifying its shape; Area of and Volume Enclosed by Digital and Triangulated Surfaces; Filling concavities for quantifying the shape of an object ; Different applications for the distance transform.

Publications

  • Gunilla Borgefors, Ingela Nyström, and Gabriella Sanniti di Baja, Guest editors. Discrete Applied Mathematics, 125(1):1-176, January 2003. Special issue on Discrete Geometry for Computer Imagery.

  • Gunilla Borgefors, Ingela Nyström, and Gabriella Sanniti di Baja, Guest editors. Pattern Recognition Letters 23(6):621-754, April 2002. Special issue on Discrete Geometry for Computer Imagery.

  • Gunilla Borgefors, Ingela Nyström, and Gabriella Sanniti di Baja, editors. Discrete Geometry for Computer Imagery, volume 1953 of Lecture Notes in Computer Science, Berlin Heidelberg, 2000. Springer-Verlag. Proceedings of DGCI 2000, Uppsala, Sweden

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