Detecting Codimension—Two Objects in an Image with Ginzburg-Landau Models
作者:Gilles Aubert, Jean-François Aujol, Laure Blanc-Féraud
摘要
In this paper, we propose a new mathematical model for detecting in an image singularities of codimension greater than or equal to two. This means we want to detect isolated points in a 2-D image or points and curves in a 3-D image. We drew one's inspiration from Ginzburg-Landau (G-L) models which have proved their efficiency for modeling many phenomena in physics. We introduce the model, state its mathematical properties and give some experimental results demonstrating its capability in image processing.
论文关键词:Ginzburg-Landau model, points detection, segmentation, PDE, biological images, SAR images
论文评审过程:
论文官网地址:https://doi.org/10.1007/s11263-005-3847-y