Objective#R##N#Multispectral, multichannel, or time series image segmentation is important for image analysis in a wide range of applications. Regularization of the segmentation is commonly performed using local image information causing the segmented image to be locally smooth or piecewise constant. A new spatial regularization method, incorporating non-local information, was developed and tested.
['Erik A. Hanson', 'Arvid Lundervold']
Local/non-local regularized image segmentation using graph-cuts