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Optimal Segmentation of Brain Tumors using DRLSE Levelset
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 29 - Number 9 |
| Year of Publication: 2011 |
| Authors: Usha Rani.N, Dr.P.V.Subbaiah, Dr.D.Venkata Rao, Nalini.K |
10.5120/3594-4987
|
Usha Rani.N, Dr.P.V.Subbaiah, Dr.D.Venkata Rao, Nalini.K . Optimal Segmentation of Brain Tumors using DRLSE Levelset. International Journal of Computer Applications. 29, 9 ( September 2011), 6-11. DOI=10.5120/3594-4987
Abstract
Image segmentation plays a vital role in medical image processing and computer vision. In case of medical scan images geometric level set functions perform accurate segmentation in good no of cases but develops irregularities during concave region evolution. These irregularities cause numerical errors and eventually destroy the stability of the evolution. In this paper, a new variational formulation known as distance regularization has a unique forward-and-backward (FAB) diffusion effect is used for the analysis of medical brain image scans which perform accurate segmentation in case of concavities. This method also eliminates the need of the costly re-initialization procedure. This method shows reliable and good convergence to the object boundaries with speed in case of concavities.
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