Results 1 to 10 of about 38,252 (256)

Multipass Active Contours for an Adaptive Contour Map [PDF]

open access: yesSensors, 2013
Isocontour mapping is efficient for extracting meaningful information from a biomedical image in a topographic analysis. Isocontour extraction from real world medical images is difficult due to noise and other factors.
Kwang Nam Choi   +4 more
doaj   +6 more sources

Self-initialized active contours for microscopic cell image segmentation [PDF]

open access: yesScientific Reports, 2022
Level set models are suitable for processing topological changes in different regions of images while performing segmentation. Active contour models require an empirical setting for initial parameters, which is tedious for the end-user.
Asim Niaz   +4 more
doaj   +2 more sources

DIFFEOMORPHIC ACTIVE CONTOURS. [PDF]

open access: yesSIAM J Imaging Sci, 2010
In this study we present a geometric flow approach to the segmentation of three-dimensional medical images obtained from magnetic resonance imaging (MRI) or computed tomography (CT) scan methods, by minimizing a cost function. This energy term is based on the intensity of the original image and its minimum is found following a gradient descent curve in
Arrate F, Ratnanather JT, Younes L.
europepmc   +4 more sources

Finsler active contours. [PDF]

open access: yesIEEE Trans Pattern Anal Mach Intell, 2008
In this paper, we propose an image segmentation technique based on augmenting the conformal (or geodesic) active contour framework with directional information. In the isotropic case, the Euclidean metric is locally multiplied by a scalar conformal factor based on image information such that the weighted length of curves lying on points of interest ...
Melonakos J   +3 more
europepmc   +4 more sources

Nonlocal Active Contours [PDF]

open access: yesSIAM Journal on Imaging Sciences, 2012
This article introduces a novel class of active contour models for image segmentation. It makes use of nonlocal comparisons between pairs of patches within each region to be segmented. The corresponding variational segmentation problem is implemented using a level set formulation that can handle an arbitrary number of regions.
Miyoun Jung   +2 more
exaly   +5 more sources

Convolutional virtual electric field for image segmentation using active contours. [PDF]

open access: yesPLoS ONE, 2014
Gradient vector flow (GVF) is an effective external force for active contours; however, it suffers from heavy computation load. The virtual electric field (VEF) model, which can be implemented in real time using fast Fourier transform (FFT), has been ...
Yuanquan Wang   +3 more
doaj   +2 more sources

3D segmentation of thyroid ultrasound images using active contours

open access: yesCurrent Directions in Biomedical Engineering, 2016
In this paper, we propose a method to segment the thyroid from a set of 2D ultrasound images. We extended an active contour model in 2D to generate a 3D segmented thyroid volume. First, a preprocessing step is carried out to suppress the noise present in
Poudel Prabal   +3 more
doaj   +2 more sources

Segmentation with Active Contours [PDF]

open access: yesImage Processing On Line, 2021
Active contours (also known as snakes) have shown their ability to introduce regularity on image segmentation. In contrast with level-set approaches, the active contours techniques based on a contour parameterization are able to maintain the initial topology of the area of interest.
Pierre, Fabien   +4 more
openaire   +2 more sources

Wasserstein active contours [PDF]

open access: yes2012 19th IEEE International Conference on Image Processing, 2012
In this paper, we propose a novel and rigorous framework for region-based active contours that combines the Wasserstein distance between statistical distributions in arbitrary dimension and shape derivative tools. To speed-up the computation and be able to handle high-dimensional features and large-scale data, we introduce an approximation of the ...
Peyré, Gabriel   +2 more
openaire   +2 more sources

Harmonic Active Contours [PDF]

open access: yesIEEE Transactions on Image Processing, 2014
We propose a segmentation method based on the geometric representation of images as 2-D manifolds embedded in a higher dimensional space. The segmentation is formulated as a minimization problem, where the contours are described by a level set function and the objective functional corresponds to the surface of the image manifold.
Virginia Estellers   +3 more
openaire   +4 more sources

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