Pages that link to "Item:Q2013024"
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The following pages link to Active contours using additive local and global intensity fitting models for intensity inhomogeneous image segmentation (Q2013024):
Displaying 23 items.
- Convex image segmentation model based on local and global intensity fitting energy and split Bregman method (Q411073) (← links)
- Implicit active contour model with local and global intensity fitting energies (Q460507) (← links)
- Segmentation of multi-channel image with Markov random field based active contour model (Q1597621) (← links)
- New normalized nonlocal hybrid level set method for image segmentation (Q1650705) (← links)
- A global and local active contour model based on dual algorithm for image segmentation (Q1659971) (← links)
- Fast nonparametric active contour adapted to quadratic inhomogeneous intensity fluctuations (Q1676954) (← links)
- A variational level set approach based on local entropy for image segmentation and bias field correction (Q1731282) (← links)
- Adaptive regularized level set method for weak boundary object segmentation (Q1954713) (← 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)
- Localized patch-based fuzzy active contours for image segmentation (Q2013960) (← 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)
- New region-scalable discriminant and fitting energy functional for driving geometric active contours in medical image segmentation (Q2262464) (← links)
- A novel adaptive level set segmentation method (Q2262697) (← 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)
- Chan-Vese reformulation for selective image segmentation (Q2331092) (← 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)
- Bilateral Intensity Fitting Energy for Image Segmentation (Q4985206) (← links)
- Two-Phase Segmentation for Intensity Inhomogeneous Images by the Allen--Cahn Local Binary Fitting Model (Q5028409) (← links)
- Adaptive Segmentation Model for Images with Intensity Inhomogeneity based on Local Neighborhood Contrast (Q5075425) (← links)