Pages that link to "Item:Q1659971"

The following pages link to A global and local active contour model based on dual algorithm for image segmentation (Q1659971):

Displaying 33 items.

• Convex image segmentation model based on local and global intensity fitting energy and split Bregman method (Q411073) (← links)
• A local region-based Chan-Vese model for image segmentation (Q411944) (← links)
• Implicit active contour model with local and global intensity fitting energies (Q460507) (← links)
• Image segmentation with dynamic artifacts detection and bias correction (Q524736) (← links)
• A novel active contour model for medical image segmentation (Q615339) (← links)
• An improved region-based model with local statistical features for image segmentation (Q663382) (← links)
• Split Bregman method for minimization of improved active contour model combining local and global information dynamically (Q663708) (← links)
• Active contours driven by local image fitting energy (Q962653) (← links)
• A new graph cut-based multiple active contour algorithm without initial contours and seed points (Q1008482) (← links)
• Level set evolution with locally linear classification for image segmentation (Q1951283) (← links)
• Incorporating a local binary fitting model into a maximum regional difference model for extracting microscopic information under complex conditions (Q1954819) (← links)
• Local- and global-statistics-based active contour model for image segmentation (Q1955191) (← links)
• Active contour model driven by global and local intensity information for ultrasound image segmentation (Q2001337) (← links)
• Active contour model based on improved fuzzy c-means algorithm and adaptive functions (Q2004431) (← links)
• A new image segmentation model with local statistical characters based on variance minimization (Q2009672) (← links)
• Active contours using additive local and global intensity fitting models for intensity inhomogeneous image segmentation (Q2013024) (← links)
• Fast global minimization of the Chan-Vese model for image segmentation problem (Q2065422) (← links)
• Parallelizable and robust image segmentation model based on the shape prior information (Q2182970) (← links)
• Image segmentation based on an active contour model of partial image restoration with local cosine fitting energy (Q2195323) (← links)
• Segmentation of intensity inhomogeneous brain MR images using active contours (Q2262418) (← links)
• An adaptive weighting parameter estimation between local and global intensity fitting energy for image segmentation (Q2300232) (← links)
• A fractional order derivative based active contour model for inhomogeneous image segmentation (Q2307065) (← links)
• A global minimization hybrid active contour model with applications to oil spill images (Q2398901) (← links)
• A hybrid active contour model based on global and local information for medical image segmentation (Q2415850) (← links)
• Active contour models for manifold valued image segmentation (Q2516344) (← links)
• An efficient local Chan-Vese model for image segmentation (Q2654223) (← links)
• A novel local region-based active contour model for image segmentation using Bayes theorem (Q2656789) (← links)
• Robust region-based active contour models via local statistical similarity and local similarity factor for intensity inhomogeneity and high noise image segmentation (Q2674896) (← links)
• Image segmentation with GVF flow and directional information (Q2902635) (← links)
• Segmentation of image with intensity inhomogeneity (Q2926996) (← links)
• Bilateral Intensity Fitting Energy for Image Segmentation (Q4985206) (← links)
• Adaptive Segmentation Model for Images with Intensity Inhomogeneity based on Local Neighborhood Contrast (Q5075425) (← links)
• Fast Global Minimization of the Active Contour/Snake Model (Q6483401) (← links)