Pages that link to "Item:Q2674896"

The following pages link to Robust region-based active contour models via local statistical similarity and local similarity factor for intensity inhomogeneity and high noise image segmentation (Q2674896):

Displaying 9 items.

• An improved region-based model with local statistical features for image segmentation (Q663382) (← links)
• Image segmentation with arbitrary noise models by solving minimal surface problems (Q1669610) (← links)
• A variational model with hybrid images data fitting energies for segmentation of images with intensity inhomogeneity (Q1669719) (← links)
• A variational framework for region-based segmentation incorporating physical noise models (Q2251192) (← links)
• Image segmentation using a local GMM in a variational framework (Q2513386) (← links)
• A novel local region-based active contour model for image segmentation using Bayes theorem (Q2656789) (← links)
• Efficient convex region-based segmentation for noising and inhomogeneous patterns (Q2697391) (← links)
• Active Mean Fields for Probabilistic Image Segmentation: Connections with Chan--Vese and Rudin--Osher--Fatemi Models (Q4602179) (← links)
• Adaptive Segmentation Model for Images with Intensity Inhomogeneity based on Local Neighborhood Contrast (Q5075425) (← links)