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Segmentation of sandstone thin section images with separation of touching grains using optimum path forest operators
(Pergamon-elsevier Science LtdOxfordInglaterra, 2013)
Precipitates segmentation from scanning electron microscope images through machine learning techniques
(2011-06-02)
The presence of precipitates in metallic materials affects its durability, resistance and mechanical properties. Hence, its automatic identification by image processing and machine learning techniques may lead to reliable ...
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 SUBCORTICAL TISSUE SEGMENTATION OF MR IMAGES USING OPTIMUM-PATH FOREST CLUSTERING
(Ieee, 2011-01-01)
Automatic MR-image segmentation of brain tissues is an important issue in neuroimaging. For instance, it is a key methodological component of a popular technique denominated voxel-based morphometry (VBM), which quantifies ...
Automatic Segmentation and Classification of Human Intestinal Parasites From Microscopy Images
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2013)
Automatic segmentation and classification of human intestinal parasites from microscopy images
(2013-10-01)
Human intestinal parasites constitute a problem in most tropical countries, causing death or physical and mental disorders. Their diagnosis usually relies on the visual analysis of microscopy images, with error rates that ...
Automatic segmentation and classification of human intestinal parasites from microscopy images
(2013-10-01)
Human intestinal parasites constitute a problem in most tropical countries, causing death or physical and mental disorders. Their diagnosis usually relies on the visual analysis of microscopy images, with error rates that ...
IFTrace: Video segmentation of deformable objects using the Image Foresting Transform
(Academic Press Inc Elsevier ScienceSan DiegoEUA, 2012)