Image segmentation with depth information via simplified variational level set formulation
type: Item
instance of: scholarly article
title: Image segmentation with depth information via simplified variational level set formulation
zbMATH Open document ID: 1387.94024
author: Lu Tan
author: Zhenkuan Pan
author: Wanquan Liu
author: Jinming Duan
author: Weibo Wei
author: Guodong Wang
published in: Journal of Mathematical Imaging and Vision
publication date: 2018-02-27T00:00:00Z
Mathematics Subject Classification ID: 94A08
Mathematics Subject Classification ID: 68U10
zbMATH DE Number: 6844356
zbMATH Keywords: segmentation with depth
zbMATH Keywords: Nitzberg-Mumford-Shiota (NMS)functional
zbMATH Keywords: variational level set formulation
zbMATH Keywords: alternating direction method of multipliers (ADMM)
zbMATH Keywords: projection method
zbMATH Keywords: fast Fourier transform (FFT)
zbMATH Keywords: soft thresholding formulas
MaRDI profile type: Publication
full work available at URL: s10851-017-0735-3
OpenAlex ID: W2612823945
cites work: Monocular extraction of 2.1D sketch using constrained convex optimization
cites work: A variational model for capturing illusory contours using curvature
cites work: Illusory Shapes via Corner Fusion
cites work: Filtering, segmentation and depth
cites work: Optimal approximations by piecewise smooth functions and associated variational problems
cites work: Q4295435
cites work: Segmentation with depth but without detecting junctions
cites work: Approximation of functional depending on jumps by elliptic functional via t-convergence
cites work: Propagation of fronts in a nonlinear fourth order equation
cites work: Segmentation with Depth: A Level Set Approach
cites work: A variational level set approach to multiphase motion
cites work: Active contours without edges
cites work: A multiphase level set framework for image segmentation using the Mumford and Shah model
cites work: Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations
cites work: Semi-implicit level set methods for curvature and surface diffusion motion
cites work: Image segmentation using Euler's elastica as the regularization
cites work: Augmented Lagrangian Method, Dual Methods, and Split Bregman Iteration for ROF, Vectorial TV, and High Order Models
cites work: Fast Alternating Direction Optimization Methods
cites work: Algorithms for Finding Global Minimizers of Image Segmentation and Denoising Models
cites work: A binary level set model and some applications to Mumford-Shah image segmentation
cites work: Euler's Elastica and Curvature-Based Inpainting
cites work: Image denoising using mean curvature of image surface
cites work: A fast modified Newton's method for curvature based denoising of 1D signals
cites work: Augmented Lagrangian method for a mean curvature based image denoising model
cites work: A New Augmented Lagrangian Approach for $L^1$-mean Curvature Image Denoising
cites work: A Fast Algorithm for Euler's Elastica Model Using Augmented Lagrangian Method
cites work: Level set methods and dynamic implicit surfaces
cites work: A fast sweeping method for Eikonal equations
cites work: New variational formulations for level set evolution without reinitialization with applications to image segmentation
cites work: Alternating Direction Method of Multiplier for Euler’s Elastica-Based Denoising
cites work: Explicit Algorithms for a New Time Dependent Model Based on Level Set Motion for Nonlinear Deblurring and Noise Removal
cites work: Global convergence of ADMM in nonconvex nonsmooth optimization
cites work: Some Facts About Operator-Splitting and Alternating Direction Methods
DOI: 10.1007/S10851-017-0735-3
description: scientific article; zbMATH DE number 6844356