Results 1 to 10 of about 5,055,438 (193)
Multipass Active Contours for an Adaptive Contour Map [PDF]
Sensors, 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
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Segmentation with Active Contours [PDF]
Image 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
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Self-initialized active contours for microscopic cell image segmentation [PDF]
Scientific 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
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Active contours driven by difference of Gaussians. [PDF]
Sci Rep, 2017 In this paper, a novel edge-based active contour method is proposed based on the difference of Gaussians (DoG) to segment intensity inhomogeneous images. DoG is known as a feature enhancement tool, which can enhance the edges of an image. However, in the
Akram F, Garcia MA, Puig D.
europepmc +2 more sources
Active contours driven by edge entropy fitting energy for image segmentation. [PDF]
Signal Processing, 2018 Active contour models have been widely used for image segmentation purposes. However, they may fail to delineate objects of interest depicted on images with intensity inhomogeneity.
Wang L +6 more
europepmc +2 more sources
DIFFEOMORPHIC ACTIVE CONTOURS. [PDF]
SIAM 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
Active contours driven by local and global fitted image models for image segmentation robust to intensity inhomogeneity. [PDF]
PLoS One, 2017 This paper presents a region-based active contour method for the segmentation of intensity inhomogeneous images using an energy functional based on local and global fitted images.
Akram F, Garcia MA, Puig D.
europepmc +2 more sources
Finsler active contours. [PDF]
IEEE 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
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Accurate Morphology Preserving Segmentation of Overlapping Cells based on Active Contours. [PDF]
Sci Rep, 2016 The identification of fluorescently stained cell nuclei is the basis of cell detection, segmentation, and feature extraction in high content microscopy experiments.
Molnar C +7 more
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Convolutional virtual electric field for image segmentation using active contours. [PDF]
PLoS 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