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Watershed from propagated markers: An interactive method to morphological object segmentation in image sequences
(Elsevier Science BvAmsterdamHolanda, 2010)
IFTrace: Video segmentation of deformable objects using the Image Foresting Transform
(Academic Press Inc. Elsevier B.V., 2012-02-01)
We introduce IFTrace, a method for video segmentation of deformable objects. The algorithm makes minimal assumptions about the nature of the tracked object: basically, that it consists of a few connected regions, and has ...
IFTrace: Video segmentation of deformable objects using the Image Foresting Transform
(Academic Press Inc. Elsevier B.V., 2012-02-01)
We introduce IFTrace, a method for video segmentation of deformable objects. The algorithm makes minimal assumptions about the nature of the tracked object: basically, that it consists of a few connected regions, and has ...
User-steered image segmentation paradigms: Live wire and live lane
(Academic Press IncSan DiegoEUA, 1998)
Interactive image segmentation using label propagation through complex networks
(2019-06-01)
Interactive image segmentation is a topic of many studies in image processing. In a conventional approach, a user marks some pixels of the object(s) of interest and background, and an algorithm propagates these labels to ...
Interactive volume segmentation with differential image foresting transforms
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2004)
Synergistic arc-weight estimation for interactive image segmentation using graphs
(Academic Press Inc Elsevier ScienceSan DiegoEUA, 2010)
Interactive image segmentation of non-contiguous classes using particle competition and cooperation
(2015-01-01)
Semi-supervised learning methods employ both labeled and unlabeled data in their training process. Therefore, they are commonly applied to interactive image processing tasks, where a human specialist may label a few pixels ...
Building networks for image segmentation using particle competition and cooperation
(2017-01-01)
Particle competition and cooperation (PCC) is a graph-based semi-supervised learning approach. When PCC is applied to interactive image segmentation tasks, pixels are converted into network nodes, and each node is connected ...
Segmentation of sandstone thin section images with separation of touching grains using optimum path forest operators
(Pergamon-elsevier Science LtdOxfordInglaterra, 2013)