Results 1 to 10 of about 41,003 (243)
Harmonic Active Contours [PDF]
IEEE 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.
Estellers Virginia +3 more
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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.
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Multipass active contours for an adaptive contour map. [PDF]
Sensors (Basel), 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. As such, adaptive selection of contour generation parameters is needed.
Kim JH +4 more
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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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Multiscale Active Contours [PDF]
International Journal of Computer Vision, 2005 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bresson, Xavier +2 more
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Wasserstein active contours [PDF]
2012 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
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Active contours without edges [PDF]
IEEE Transactions on Image Processing, 2001 We propose a new model for active contours to detect objects in a given image, based on techniques of curve evolution, Mumford-Shah (1989) functional for segmentation and level sets. Our model can detect objects whose boundaries are not necessarily defined by the gradient.
Chan, Tony F., Vese, Luminita A.
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Higher Order Active Contours [PDF]
International Journal of Computer Vision, 2006 We introduce a new class of active contour models that hold great promise for region and shape modelling, and we apply a special case of these models to the extraction of road networks from satellite and aerial imagery. The new models are arbitrary polynomial functionals on the space of boundaries, and thus greatly generalize the linear functionals ...
Rochery, M., Jermyn, I.H., Zerubia, J.
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Directional geodesic active contours [PDF]
2012 19th IEEE International Conference on Image Processing, 2012 We present a non-conformal metric that generalizes the geodesic active contours approach for image segmentation. The new metric is obtained by adding to the Euclidean metric an additional term that penalizes the misalignment of the curve with the image gradient and multiplying the resulting metric by a conformal factor that depends on the edge ...
Gallego Bonet, Guillermo +2 more
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Sparse Texture Active Contour [PDF]
IEEE Transactions on Image Processing, 2013 In image segmentation, we are often interested in using certain quantities to characterize the object, and perform the classification based on criteria such as mean intensity, gradient magnitude, and responses to certain predefined filters. Unfortunately, in many cases such quantities are not adequate to model complex textured objects.
Gao, Yi +3 more
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