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New models transform SAR image segmentation into denoising problems

By PulseAugur Editorial · [3 sources] ·

Researchers have developed new methods for segmenting synthetic aperture radar (SAR) images, which are often affected by noise and intensity variations. These methods transform complex segmentation models into more manageable denoising problems, specifically leveraging the Rudin-Osher-Fatemi (ROF) model. The proposed techniques offer efficient and globally optimized solutions for image segmentation, with some approaches being faster than previous methods like the Split Bregman technique. AI

IMPACT These advancements in image segmentation and denoising could improve the accuracy and efficiency of processing complex image data in various AI applications.

RANK_REASON The cluster consists of three arXiv preprints detailing novel research in image segmentation and denoising algorithms.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

New models transform SAR image segmentation into denoising problems

COVERAGE [3]

  1. arXiv cs.CV TIER_1 English(EN) · Guangming Liu ·

    A global optimization SAR image segmentation model can be easily transformed to a general ROF denoising model

    arXiv:2312.08376v3 Announce Type: replace Abstract: In this paper, we propose a novel locally statistical active contour model (LACM) based on Aubert-Aujol (AA) denoising model and variational level set method, which can be used for SAR images segmentation with intensity inhomoge…

  2. arXiv cs.CV TIER_1 English(EN) · Guangming Liu ·

    Active contours driven by local and global intensity fitting energy with application to SAR image segmentation and its fast solvers

    arXiv:2312.11849v3 Announce Type: replace Abstract: 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…

  3. arXiv cs.CV TIER_1 English(EN) · Guangming Liu ·

    A locally statistical active contour model for SAR image segmentation can be solved by denoising algorithms

    arXiv:2401.10083v3 Announce Type: replace Abstract: 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,…

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