Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification.
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The Use of Mobile Devices in Aiding Dietary Assessment and EvaluationAn efficient, scalable, and adaptable framework for solving generic systems of level-set PDEs.Segmentation algorithms for ear image data towards biomechanical studies.Three-dimensional coupled-object segmentation using symmetry and tissue type informationMedical image segmentation based on a hybrid region-based active contour modelA fast and fully automatic method for cerebrovascular segmentation on time-of-flight (TOF) MRA image.A novel adaptive level set segmentation method.A real-time algorithm for the approximation of level-set-based curve evolutionA hybrid geometric-statistical deformable model for automated 3-D segmentation in brain MRI.Multi-resolution level sets with shape priors: a validation report for 2D segmentation of prostate gland in T2W MR imagesRecent advances in morphological cell image analysis.Level set segmentation of medical images based on local region statistics and maximum a posteriori probability.Active Contours Using Additive Local and Global Intensity Fitting Models for Intensity Inhomogeneous Image SegmentationLevel-set algorithm for the reconstruction of functional activation in near-infrared spectroscopic imagingAn improved algorithm for the piecewise-smooth Mumford and Shah model in image segmentation.On the Relationship between Variational Level Set-Based and SOM-Based Active Contours.Energy minimization in medical image analysis: Methodologies and applications.A nonparametric shape prior constrained active contour model for segmentation of coronaries in CTA imagesContour detection and completion for inpainting and segmentation based on topological gradient and fast marching algorithms.Segmentation of Bone with Region Based Active Contour Model in PD Weighted MR Images of Shoulder.Prostate contours delineation using interactive directional active contours model and parametric shape prior model.Minimization of region-scalable fitting energy for image segmentationJoint brain parametric T1-map segmentation and RF inhomogeneity calibration.A Novel Active Contour Model for MRI Brain Segmentation used in Radiotherapy Treatment PlanningActive Geodesics: Region-based Active Contour Segmentation with a Global Edge-based Constraint.Image Segmentation via Convolution of a Level-Set Function with a Rigaut Kernel.Adaptive local window for level set segmentation of CT and MRI liver lesions.Salient object segmentation based on active contouring.Adaptive Estimation of Active Contour Parameters Using Convolutional Neural Networks and Texture Analysis.Automated Robust Image Segmentation: Level Set Method Using Nonnegative Matrix Factorization with Application to Brain MRI.Automated cement segmentation in vertebroplasty.A Probabilistic Framework for Curve EvolutionOff-the-Grid Recovery of Piecewise Constant Images from Few Fourier Samples*.On using an analogy to heat flow for shape extractionReal-time object subspace searching based on discrete searching paths and local energyA New Variational Model for Segmenting Objects of Interest from Color ImagesOn the Generation of Point Cloud Data Sets: Step One in the Knowledge Discovery ProcessConvex Image Segmentation Model Based on Local and Global Intensity Fitting Energy and Split Bregman MethodIncorporating a Local Binary Fitting Model into a Maximum Regional Difference Model for Extracting Microscopic Information under Complex ConditionsLocal- and Global-Statistics-Based Active Contour Model for Image Segmentation
P2860
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P2860
Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification.
description
2001 nî lūn-bûn
@nan
2001年の論文
@ja
2001年学术文章
@wuu
2001年学术文章
@zh
2001年学术文章
@zh-cn
2001年学术文章
@zh-hans
2001年学术文章
@zh-my
2001年学术文章
@zh-sg
2001年學術文章
@yue
2001年學術文章
@zh-hant
name
Curve evolution implementation ...... erpolation, and magnification.
@en
Curve evolution implementation ...... erpolation, and magnification.
@nl
type
label
Curve evolution implementation ...... erpolation, and magnification.
@en
Curve evolution implementation ...... erpolation, and magnification.
@nl
prefLabel
Curve evolution implementation ...... erpolation, and magnification.
@en
Curve evolution implementation ...... erpolation, and magnification.
@nl
P2093
P356
P1476
Curve evolution implementation ...... erpolation, and magnification.
@en
P2093
P304
P356
10.1109/83.935033
P577
2001-01-01T00:00:00Z