Pages that link to "Item:Q1859697"

The following pages link to A multiphase level set framework for image segmentation using the Mumford and Shah model (Q1859697):

Displaying 50 items.

• Generalized fast marching method: applications to image segmentation (Q937178) (← links)
• Active contours driven by local image fitting energy (Q962653) (← links)
• A new variational model for segmenting objects of interest from color images (Q980669) (← links)
• A multi-phase level set framework for source reconstruction in bioluminescence tomography (Q982983) (← links)
• Interactively multiphase image segmentation based on variational formulation and graph cuts (Q991916) (← links)
• Multiphase image segmentation and modulation recovery based on shape and topological sensitivity (Q993539) (← links)
• Multiphase soft segmentation with total variation and \(H^{1}\) regularization (Q993576) (← links)
• A new graph cut-based multiple active contour algorithm without initial contours and seed points (Q1008482) (← links)
• Design of piezoelectric actuators using a multiphase level set method of piecewise constants (Q1008882) (← links)
• Level set and total variation regularization for elliptic inverse problems with discontinuous coefficients. (Q1418683) (← links)
• A partial differential equation approach to multidimensional extrapolation. (Q1418703) (← links)
• ``Color'' level sets: A multi-phase method for structural topology optimization with multiple materials. (Q1429624) (← links)
• Segmentation of multi-channel image with Markov random field based active contour model (Q1597621) (← links)
• A Nash-game approach to joint image restoration and segmentation (Q1630744) (← links)
• New normalized nonlocal hybrid level set method for image segmentation (Q1650705) (← links)
• Image segmentation by level set evolution with region consistency constraint (Q1650706) (← links)
• A global and local active contour model based on dual algorithm for image segmentation (Q1659971) (← links)
• Shape optimization with a level set based mesh evolution method (Q1668773) (← links)
• Image segmentation with arbitrary noise models by solving minimal surface problems (Q1669610) (← links)
• A variational model with hybrid images data fitting energies for segmentation of images with intensity inhomogeneity (Q1669719) (← links)
• Fast nonparametric active contour adapted to quadratic inhomogeneous intensity fluctuations (Q1676954) (← links)
• Variational image segmentation model coupled with image restoration achievements (Q1678702) (← links)
• An efficient iterative thresholding method for image segmentation (Q1699044) (← links)
• Image segmentation with depth information via simplified variational level set formulation (Q1701989) (← links)
• Convex histogram-based joint image segmentation with regularized optimal transport cost (Q1703945) (← links)
• A geometric flow approach for region-based image segmentation-theoretical analysis (Q1709421) (← links)
• Convex non-convex segmentation of scalar fields over arbitrary triangulated surfaces (Q1713125) (← links)
• A variational level set model combined with FCMS for image clustering segmentation (Q1717753) (← links)
• Robust three-dimensional level-set method for evolving fronts on complex unstructured meshes (Q1720644) (← links)
• Efficient 3D volume reconstruction from a point cloud using a phase-field method (Q1721339) (← links)
• Latent marked Poisson process with applications to object segmentation (Q1752006) (← links)
• Segmentation under geometrical conditions using geodesic active contours and interpolation using level set methods (Q1776177) (← links)
• Electrical impedance tomography using level set representation and total variational regularization (Q1780686) (← links)
• A novel fuzzy level set approach for image contour detection (Q1792872) (← links)
• Unsupervised joint image denoising and active contour segmentation in multidimensional feature space (Q1793086) (← links)
• Geodesic active regions and level set methods for supervised texture segmentation (Q1859563) (← links)
• Shock capturing, level sets, and PDE based methods in computer vision and image processing: A review of Osher's contributions (Q1873313) (← links)
• New variational formulations for level set evolution without reinitialization with applications to image segmentation (Q1932884) (← links)
• Nonparametric image segmentation using Rényi's statistical dependence measure (Q1932991) (← links)
• Adaptive active contours without edges (Q1933855) (← links)
• Statistical density estimation using threshold dynamics for geometric motion (Q1945364) (← links)
• Adaptive wavelet collocation methods for image segmentation using TV-Allen-Cahn type models (Q1946482) (← links)
• Linear convergence analysis of the use of gradient projection methods on total variation problems (Q1946623) (← links)
• Construction of target controllable image segmentation model based on homotopy perturbation technology (Q1949430) (← links)
• Incorporating a local binary fitting model into a maximum regional difference model for extracting microscopic information under complex conditions (Q1954819) (← links)
• Adaptively active contours based on variable exponent \(L^{p(|\nabla I|)}\) norm for image segmentation (Q1954836) (← links)
• A new and fast multiphase image segmentation model for color images (Q1954841) (← links)
• Local- and global-statistics-based active contour model for image segmentation (Q1955191) (← links)
• Active contours driven by local Gaussian distribution fitting energy (Q1957679) (← links)
• A multiphysics model for radiofrequency activation of soft hydrated tissues (Q1985595) (← links)