Sentence examples for interactive segmentation methods from inspiring English sources

Motivated by the interactive segmentation methods, e.g., GrabCut [25], we utilize the inherent color Gaussian mixture model (GMM) in the image to update the object likelihoods.

Kim et al. [15] extended heat diffusion-based interactive segmentation method to solve multi-class co-segmentation problem.

The random walker-based interactive segmentation method was extended to solve co-segmentation problem in the work of Collins et al. [18], which introduces foreground similarity constraint into the random walker-based method.

Recently, sketch-based interactive mesh segmentation methods have become very popular [ 5– 8].

Motivated by state-of-the-art general interactive mesh segmentation methods [ 5– 8], we developed a convenient and efficient dental segmentation framework, which identifies tooth boundaries by a dental-targeted, harmonic field.

Several well-known interactive-based segmentation methods have been extended to solve co-segmentation problem.

Furthermore, it models the foreground and background appearance priors by a simple rectangle setting, which is convenient compared with the other interactive-based segmentation methods.

Analyzing these methods, these co-segmentation methods can be concluded as the extensions of the interactive-based segmentation methods since it is natural to replace the initial seeds manually given in the traditional method by searching the local similar regions shared by images.

GrabCut is an interactive image segmentation method.

Secondly, by using local region growing and interactive level set segmentation methods, we can get the actual boundary of each axon which can provide us valuable quantitative information such as the length, radius for axon function and connectivity analysis.

In the work of Batra et al. [11], an interactive co-segmentation method which segmented common objects through human interaction guided by an automatic recommendation system was proposed.