An Efficient Smoothing and Thresholding Image Segmentation Framework with Weighted Anisotropic-Isotropic Total Variation. (arXiv:2202.10115v3 [cs.CV] UPDATED)

In this paper, we design an efficient, multi-stage image segmentation
framework that incorporates a weighted difference of anisotropic and isotropic
total variation (AITV). The segmentation framework generally consists of two
stages: smoothing and thresholding, thus referred to as SaT. In the first
stage, a smoothed image is obtained by an AITV-regularized Mumford-Shah (MS)
model, which can be solved efficiently by the alternating direction method of
multipliers (ADMM) with a closed-form solution of a proximal operator of the
$\ell_1 -\alpha \ell_2$ …

arxiv framework image segmentation thresholding