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Can the Use of nonlinear Color Metrics systematically improve Segmentation?
(Instituto de Informática - Universidade Federal do Rio Grande do Sul, 2018)
Computational methods for the image segmentation of pigmented skin lesions: A review
(Elsevier B.V., 2016-07-01)
Background and objectives: Because skin cancer affects millions of people worldwide, computational methods for the segmentation of pigmented skin lesions in images have been developed in order to assist dermatologists in ...
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 ...
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 ...
Interactive volume segmentation with differential image foresting transforms
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2004)
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 ...
Multispectral images segmentation using new fuzzy cluster centroid modified
(Institute of Electrical and Electronics Engineers Inc., 2017)
The presence of outliers, noise, corrupt pieces of data and great quantity of samples in a multispectral image, makes the segmentation analysis work tedious. The fuzzy clustering approach, specially, is susceptible to ...