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Image Segmentation as an Optimization Problem
(Computación y Sistemas, 2009)
Image segmentation through combined methods: Watershed transform, unsupervised distance learning and normalized cut
(2014-01-01)
Research on image processing has shown that combining segmentation methods may lead to a solid approach to extract semantic information from different sort of images. Within this context, the Normalized Cut (NCut) is usually ...
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 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 ...
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 ...
Open-source software platform for medical image segmentation applications
(Redondo Beach, 2017-11)
Segmenting 2D and 3D images is a crucial and challenging problem in medical image analysis. Although several image segmentation algorithms have been proposed for different applications, no universal method currently exists. ...
Jansen-MIDAS: A multi-level photomicrograph segmentation software based on isotropic undecimated wavelets
(2018-01-01)
Image segmentation, the process of separating the elements within a picture, is frequently used for obtaining information from photomicrographs. Segmentation methods should be used with reservations, since incorrect results ...
IFTrace: Video segmentation of deformable objects using the Image Foresting Transform
(Academic Press Inc Elsevier ScienceSan DiegoEUA, 2012)
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 ...