3 papers
cs.CV2018
Fast Graph-Cut Based Optimization for Practical Dense Deformable Registration of Volume Images
Simon Ekström, Filip Malmberg, Håkan Ahlström +2
Objective: Deformable image registration is a fundamental problem in medical image analysis, with applications such as longitudinal studies, population modeling, and atlas based im…
cs.DS2018
When can -norm objective functions be minimized via graph cuts?
Filip Malmberg, Robin Strand
Techniques based on minimal graph cuts have become a standard tool for solving combinatorial optimization problems arising in image processing and computer vision applications. The…
stat.ML2018
PDNet: Semantic Segmentation integrated with a Primal-Dual Network for Document binarization
Kalyan Ram Ayyalasomayajula, Filip Malmberg, Anders Brun
Binarization of digital documents is the task of classifying each pixel in an image of the document as belonging to the background (parchment/paper) or foreground (text/ink). Histo…