no code implementations • 10 Jan 2024 • Guangming Liu, Quanying Sun, Jing Liang, Qi Liu
In this paper, we propose a novel locally statistical variational active contour model based on I-divergence-TV denoising model, which hybrides geodesic active contour (GAC) model with active contours without edges (ACWE) model, and can be used to segment images corrupted by multiplicative gamma noise.
no code implementations • 19 Dec 2023 • Guangming Liu, Qi Liu, Jing Liang, Quanying Sun
In this paper, we propose a novel variational active contour model based on Aubert-Aujol (AA) denoising model, which hybrides geodesic active contour (GAC) model with active contours without edges (ACWE) model and can be used to segment images corrupted by multiplicative gamma noise.
no code implementations • 9 Dec 2023 • Guangming Liu, Quanying Sun, Qi iu
In this paper, we propose a novel variational active contour model based on I-divergence-TV model to segment Synthetic aperture radar (SAR) images with multiplicative gamma noise, which hybrides edge-based model with region-based model.
no code implementations • 8 Dec 2023 • Guangming Liu, Qi Liu, Jing Liang
The second model is: we use a different splitting approach than one model to transform the global optimization model into a differentiable term and a general ROF model term, which can be solved by the same technique as the first model.