A nonparametric statistical snake model using the gradient flow of minimum probability density integration

DOI10.1007/s10851-018-0801-5zbMath1436.62112OpenAlexW2793111424MaRDI QIDQ1799593

Qiang Li, Ting-Quan Deng

Publication date: 19 October 2018

Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10851-018-0801-5

zbMATH Keywords

image segmentationlevel set methodsactive contoursminimum probability density integrationnonparametric statistical method

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Cites Work

• Unnamed Item
• Unnamed Item
• Constraints on deformable models: Recovering 3D shape and nonrigid motion
• Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations
• A level set approach for computing solutions to incompressible two-phase flow
• Geodesic active contours
• Regularized Laplacian zero crossings as optimal edge integrators
• Dynamic textures
• A fast level set method for propagating interfaces
• Completely convex formulation of the Chan-Vese image segmentation model
• Optimal approximations by piecewise smooth functions and associated variational problems
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Active contours without edges
• Snakes, shapes, and gradient vector flow
• Variational Segmentation of Vector-Valued Images With Gradient Vector Flow
• Minimization of Region-Scalable Fitting Energy for Image Segmentation
• Localizing Region-Based Active Contours
• Local Region Descriptors for Active Contours Evolution
• A Nonconservative Flow Field for Robust Variational Image Segmentation
• A Level Set Method for Image Segmentation in the Presence of Intensity Inhomogeneities With Application to MRI
• Image Processing and Analysis
• On Estimation of a Probability Density Function and Mode
• On Information and Sufficiency

This page was built for publication: A nonparametric statistical snake model using the gradient flow of minimum probability density integration