Results 21 to 30 of about 81,242 (307)

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

Finsler Active Contours [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 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 ...
John Melonakos   +3 more
openaire   +2 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
openaire   +4 more sources

ADAPTIVE INITIAL CONTOUR AND PARTLY-NORMALIZATION ALGORITHM FOR IRIS SEGMENTATION OF BLURRY IRIS IMAGES

open access: yesJournal of ICT, 2022
Iris segmentation is a process to isolate the accurate iris region from the eye image for iris recognition. Iris segmentation on non-ideal and noisy iris images is accurate with active contour. Nevertheless, it is currently unclear on how active contour
Shahrizan Jamaludin   +3 more
doaj   +1 more source

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   +3 more sources

Lipes Tracking Using Active Contour Method [PDF]

open access: yesEngineering and Technology Journal, 2011
Speech recognition based on visual information such as the lip shape and its movement is referred to as lip reading. The visual features are derived according to the frame rate of the video sequence. The proposed work adopted in this paper based upon the
Abdul Monem S. Rahma   +1 more
doaj   +1 more source

Modified Canny Detector-based Active Contour for Segmentation [PDF]

open access: yesJournal of Engineering Research - Egypt, 2021
In the present work, an integrated modified canny detector and an active contour were proposed for automated medical image segmentation. Since the traditional canny detector (TCD) detects only the edge’s pixels, which are insufficient for labelling the ...
Radwa A.Elsawy   +2 more
doaj   +1 more source

Fuzzy Active Contour Model With Markov Random Field for Change Detection

open access: yesIEEE Access, 2022
The traditional active contour models are sensitive to the speckle noise in the synthetic aperture radar (SAR) images. In this paper, the Markov random field (MRF) theory is incorporated into the fuzzy active contour model to detect the changes of ...
Fei Xie   +5 more
doaj   +1 more source

Diffeomorphic Active Contours [PDF]

open access: yesSIAM Journal on Imaging Sciences, 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
Felipe Arrate   +2 more
openaire   +2 more sources

Multiscale Active Contours [PDF]

open access: yesInternational Journal of Computer Vision, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xavier Bresson   +2 more
openaire   +1 more source

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