Now showing items 1-10 of 631
Automated diagnosis of human intestinal parasites using optical microscopy images
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 segmentation of digital images applied in cardiac medical images
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 ...
Identifying plant species using architectural features in leaf microscopy images
This work proposes an analytical method to identify plant species based on microscopy images of the midrib cross-section of leaves. Unlike previous shape-based approaches based on the individual shape of external contours ...
Automatic segmentation and classification of human intestinal parasites from microscopy images
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 visual dictionary generation through Optimum-Path Forest clustering
Image categorization by means of bag of visual words has received increasing attention by the image processing and vision communities in the last years. In these approaches, each image is represented by invariant points ...
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 ...