A fast multiphase image segmentation model for gray images

A New and Fast Multiphase Image Segmentation Model for Color Images

This paper presents a new and fast multiphase image segmentation model for color images. We propose our model by incorporating the globally convex image segmentation method and the split Bregman method into the piecewise constant multiphase Vese-Chan model for color images. We have applied our model to many synthetic and real color images. Numerical results show that our model can segment color...

Diffusing Vector Field of Gray-Scale Images for Image Segmentation

In this paper, a novel vector field transform is proposed for gray-scale images, which is based on the electro-static analogy. By introducing the item of gray-scale difference into the repulsion vector between image points, the diffusing vector field is obtained by the transform. Then the primitive areas can be extracted based on the diffusing vector field with a proposed area-expanding method....

Multiphase image segmentation using a phase-field model

A Multiphase Gray-scale Lattice Boltzmann Model

The Lattice Boltzmann (LB) method has been shown to be a highly efficient numerical method for solving fluid flow in confined domains such as pipes, irregularly shaped channels or porous media. Traditionally the LB method has been applied to flow in void regions (pores) and no flow in solid regions. However, in a number of scenarios, this may not suffice. That is partial flow may occur in semi-...

Improved Workflow for Unsupervised Multiphase Image Segmentation

Quantitative image analysis often depends on accurate classification of pixels through a segmentation process. However, imaging artifacts such as the partial volume effect and sensor noise complicate the classification process. These effects increase the pixel intensity variance of each constituent class, causing intensities from one class to overlap with another. This increased variance makes ...