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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 ...
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 ...
A Semi-Automated Approach for Recognizing Moving Targets Using a Global Vision System
(Institute of Electrical and Electronics Engineers Inc., 2016)
Global vision system works with processes of sorting, recognition and identification through some external characteristics as: color, shape and size depending of specific targets. In this paper we propose a semi-automated ...
Automated left atrial time-resolved segmentation in MRI long-axis cine images using active contours
(Universidad de Ingeniería y TecnologíaBioMed CentralPE, 2021-06-19)
Background: Segmentation of the left atrium (LA) is required to evaluate atrial size and function, which are
important imaging biomarkers for a wide range of cardiovascular conditions, such as atrial fbrillation, stroke, ...
Clustering stability for automated color image segmentation
(Pergamon-Elsevier Science Ltd, 2017-11)
Clustering is a well-established technique for segmentation. However, clustering validation is rarely used for this purpose. In this work we adapt a clustering validation method, Clustering Stability (CS), to automatically ...
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 ...
Can the Use of nonlinear Color Metrics systematically improve Segmentation?
(Instituto de Informática - Universidade Federal do Rio Grande do Sul, 2018)
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 ...
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 ...