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Watershed from propagated markers: An interactive method to morphological object segmentation in image sequences
(Elsevier Science BvAmsterdamHolanda, 2010)
User-steered image segmentation paradigms: Live wire and live lane
(Academic Press IncSan DiegoEUA, 1998)
Can the Use of nonlinear Color Metrics systematically improve Segmentation?
(Instituto de Informática - Universidade Federal do Rio Grande do Sul, 2018)
An adjustable error measure for image segmentation evaluation
(Universidade Federal da Bahia - UFBAIntelligent Vision Research Lab – iVisionSalvador, 2015-08)
Due to the subjective nature of the segmentation process, quantitative evaluation of image segmentation methods is still a difficult task. Humans perceive image objects in different ways. Consequently, human segmentations ...
Automatic segmentation of the lumen region in intravascular images of the coronary artery
(Elsevier B.V., 2017-08-01)
Image assessment of the arterial system plays an important role in the diagnosis of cardiovascular diseases. The segmentation of the lumen and media-adventitia in intravascular (IVUS) images of the coronary artery is the ...
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 ...
Interactive volume segmentation with differential image foresting transforms
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2004)
Fast automatic microstructural segmentation of ferrous alloy samples using optimum-path forest
(2010-05-21)
In this work we propose a novel automatic cast iron segmentation approach based on the Optimum-Path Forest classifier (OPF). Microscopic images from nodular, gray and malleable cast irons are segmented using OPF, and Support ...
Fast automatic microstructural segmentation of ferrous alloy samples using optimum-path forest
(2010-05-21)
In this work we propose a novel automatic cast iron segmentation approach based on the Optimum-Path Forest classifier (OPF). Microscopic images from nodular, gray and malleable cast irons are segmented using OPF, and Support ...
Automatic segmentation of latent fingerprints
(2012-12-01)
Latent fingerprints are routinely found at crime scenes due to the inadvertent contact of the criminals' finger tips with various objects. As such, they have been used as crucial evidence for identifying and convicting ...