A Novel Level Set Model Based on Local Information

2010 ◽  
pp. 507-514
Author(s):  
Hai Min ◽  
Xiao-Feng Wang ◽  
Ying-Ke Lei
Keyword(s):  
Level Set ◽  
Local Information ◽  
Model Based ◽  
Level Set Model

A Variational Level Set Model Based on Local Clustering for Image Segmentation

2014 ◽  
Vol 556-562 ◽  
pp. 4797-4801
Author(s):  
Yu Zhou ◽  
Wei Guo Zhang ◽  
Li Feng Li
Keyword(s):  
Image Segmentation ◽  
Level Set ◽  
Clustering Algorithm ◽  
Criterion Function ◽  
Model Based ◽  
Local Clustering ◽  
Variational Level Set ◽  
Local Intensity ◽  
Clustering Criterion ◽  
Level Set Model

For images with intensity inhomogeneities that can’t get accurate segmentation results, this paper proposes a variational level set model based on local clustering. First,based on the model of images with intensity inhomogeneities, we use the K-mean clustering algorithm for intensity clustering in a neighborhood of each point of images with intensity inhomogeneities, and define a local clustering criterion function for the image intensities in the neighborhood. Then this local clustering criterion function is then integrated with respect to the neighborhood center to give a global criterion of image segmentation. This criterion defines an energy function as a local intensity fitting term in the level set model. By minimizing this energy, our method is able to get the accurate image segmentation. The image segmentation results prove that our model in the aspect of segmenting images with intensity inhomogeneity is better than piecewise constant (PC) models, and the segmentation efficiency is higher than region-scalable fitting (RSF) model.

Skull and fontanel segmentation from neonatal CT data by model based variational level set using localized coefficient

2011 ◽  
Author(s):  
Nassim Jafarian ◽  
Kamran Kazemi ◽  
Reinhard Grebe ◽  
Mohammad Sadegh Helfroush ◽  
Mohamad Javad Dehghani ◽  
...  
Keyword(s):  
Level Set ◽  
Model Based ◽  
Variational Level Set ◽  
Ct Data
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