Oct 4, 2017 · Minimisation of the energy functional is implemented by solving an equivalent convex-relaxed problem whose optimisation can be quickly achieved ...
The authors' method first reconstructs the KM formulation of image segmentation in a neighbourhood of each pixel, and then such formulations for all pixels can ...
This study presents a localised KM (LKM) method based on the fact that intensity inhomogeneity can be ignored in a local neighbourhood and first ...
Convex-relaxed active contour model based on localised kernel mapping. Wenchao Cui, Guoqiang Gong, Ke Lu, Shuifa Sun, Fangmin Dong.
Most of local region-based active contour models in terms of the level set approach are able to segment images with intensity inhomogeneity.
Missing: mapping. | Show results with:mapping.
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Convex-relaxed Active Contour Model Based on Localized Kernel Mapping ... To overcome this drawback, this study presents a localised KM (LKM) method based ...
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.
This paper introduces a dual BF and proposes a convex level-set (LS) method based on multiplicative-additive (MA) model to achieve global minima.
Missing: localised mapping.
Convex-relaxed active contour model based on localised kernel mapping ... This work proposes a region-based active contour model that draws upon intensity ...
Active contour based methods are effective models for image segmentation. However, they always suffer from the limited performance due to the presence of ...