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Coarse-to-Fine Segmentation and Tracking Using Sobolev Active Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008 Recently proposed Sobolev active contours introduced a new paradigm for minimizing energies defined on curves by changing the traditional cost of perturbing a curve and thereby redefining gradients associated to these energies.
Ganesh Sundaramoorthi +2 more
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Classification and Localization of Naval Mines With Superellipse Active Contours
IEEE Journal of Oceanic Engineering, 2019In this paper, an approach for the classification and localization of geometric shapes, e.g., man-made objects or different types of geological features, in sonar images is presented. It is applied to a concrete application case, namely the detection and
D. Köhntopp +3 more
semanticscholar +1 more source
IEEE Transactions on Image Processing, 1999
We use an unconditionally stable numerical scheme to implement a fast version of the geodesic active contour model. The proposed scheme is useful for object segmentation in images, like tracking moving objects in a sequence of images. The method is based on the Weickert-Romeney-Viergever (additive operator splitting) AOS scheme.
Roman Goldenberg +3 more
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We use an unconditionally stable numerical scheme to implement a fast version of the geodesic active contour model. The proposed scheme is useful for object segmentation in images, like tracking moving objects in a sequence of images. The method is based on the Weickert-Romeney-Viergever (additive operator splitting) AOS scheme.
Roman Goldenberg +3 more
openaire +2 more sources
Intracranial contour extraction with active contour models
Journal of Magnetic Resonance Imaging, 1997AbstractA novel image processing scheme for extracting the intracranial contours in axial magnetic resonance data sets is proposed. The scheme incorporates the method of active contour models, a recently introduced paradigm for contour extraction. Its performance is nearly ideal for T2‐weighted images.
S, Matsumoto +3 more
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K-nearest neighbor driving active contours to delineate biological tumor volumes
Engineering applications of artificial intelligence, 2019An algorithm for tumor delineation in positron emission tomography (PET) is presented. Segmentation is achieved by a local active contour algorithm, integrated and optimized with the k-nearest neighbor (KNN) classification method, which takes advantage ...
A. Comelli +7 more
semanticscholar +1 more source
Active Contours with Free Endpoints
Journal of Mathematical Imaging and Vision, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hayden Schaeffer, Luminita A. Vese
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Stabilization of Parametric Active Contours Using a Tangential Redistribution Term [PDF]
IEEE Transactions on Image Processing, 2009 Depending on implementation, active contours have been classified as geometric or parametric active contours. Parametric contours, irrespective of representation, are known to suffer from the problem of irregular bunching and spacing out of curve points ...
Subhasis Chaudhuri
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2008
In current active contour image segmentation methods, the number of regions is assumed to be known beforehand. It is related directly to a fixed number of active curves. How to allow it to vary is an important question which has been generally avoided.
Ismail Ben Ayed, Amar Mitiche
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In current active contour image segmentation methods, the number of regions is assumed to be known beforehand. It is related directly to a fixed number of active curves. How to allow it to vary is an important question which has been generally avoided.
Ismail Ben Ayed, Amar Mitiche
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From active contours to active surfaces
CVPR 2011, 2011Identifying the surfaces of three-dimensional static objects or of two-dimensional objects over time are key to a variety of applications throughout computer vision. Active surface techniques have been widely applied to such tasks, such that a deformable spline surface evolves by the influence of internal and external (typically opposing) energies ...
Akshaya Kumar Mishra +2 more
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