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Automatic segmentation of digital images applied in cardiac medical images
(2010-07-09)
The digital image processing has been applied in several areas, especially where it is necessary use tools for feature extraction and to get patterns of the studied images. In an initial stage, the segmentation is used to ...
ANN statistical image recognition method for computer vision in agricultural mobile robot navigation
(2010-11-29)
The main application area in this project, is to deploy image processing and segmentation techniques in computer vision through an omnidirectional vision system to agricultural mobile robots (AMR) used for trajectory ...
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 ...
Automated diagnosis of human intestinal parasites using optical microscopy images
(2013-08-22)
Intestinal parasitosis constitutes a serious health problem in most tropical countries. The diagnosis of enteroparasites in laboratory routine relies on the examination of stool samples using optical microscopy and the ...
Automatic shadow segmentation in aerial color images
(2003-01-01)
A robust and efficient technique to segment shaded areas in aerial color images is presented here. This technique is based on the physical phenomenon of atmospheric dispersion of the sunlight most well known as the Rayleigh ...
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 ...
Vertebral body segmentation of spine MR images using superpixels
(Institute of Electrical and Electronics Engineers – IEEEUniversidade de São Paulo - USPSão Carlos e Ribeirão Preto, 2015-06)
This paper presents a segmentation approach guided by the user for extracting the vertebral bodies of spine from MRI. The proposed approach, called VBSeg, takes advantage of superpixels to reduce the image complexity and ...
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 ...