Pages that link to "Item:Q1384009"
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The following pages link to A study of a convex variational diffusion approach for image segmentation and feature extraction (Q1384009):
Displaying 12 items.
- Variation-based approach to image segmentation (Q865949) (← links)
- Splines in higher order TV regularization (Q878255) (← links)
- Combined \(\ell_{2}\) data and gradient fitting in conjunction with \(\ell_{1}\) regularization (Q1014872) (← links)
- A variational method in image segmentation: Existence and approximation results (Q1202521) (← links)
- Isophotes selection and reaction-diffusion model for object boundaries estimation (Q1859593) (← links)
- Strongly convex optimization for joint fractal feature estimation and texture segmentation (Q2036503) (← links)
- Topology- and convexity-preserving image segmentation based on image registration (Q2240289) (← links)
- Convex relaxation of a class of vertex penalizing functionals (Q2251199) (← links)
- Global and local segmentation of images by geometry preserving variational models and their algorithms (Q2787253) (← links)
- Nonlinear Analysis of Multi-Dimensional Signals: Local Adaptive Estimation of Complex Motion and Orientation Patterns (Q2847951) (← links)
- A Variational Shape Optimization Approach for Image Segmentation with a Mumford–Shah Functional (Q3648601) (← links)
- Analysis of gradient flow of a regularized Mumford-Shah functional for image segmentation and image inpainting (Q5315454) (← links)
