Image Segmentation Based on the Self-Balancing Mechanism in Virtual 3D Elastic Mesh
This addresses image segmentation for computer vision applications, but appears incremental as it adapts physical concepts to a known problem.
The paper tackles image segmentation by proposing a novel 3D elastic mesh model with a self-balancing mechanism, achieving stable segmentation results as validated through experiments on test and real-world images.
In this paper, a novel model of 3D elastic mesh is presented for image segmentation. The model is inspired by stress and strain in physical elastic objects, while the repulsive force and elastic force in the model are defined slightly different from the physical force to suit the segmentation problem well. The self-balancing mechanism in the model guarantees the stability of the method in segmentation. The shape of the elastic mesh at balance state is used for region segmentation, in which the sign distribution of the points'z coordinate values is taken as the basis for segmentation. The effectiveness of the proposed method is proved by analysis and experimental results for both test images and real world images.