Title :
GVF-Snake Based Method for Liver Region Segmentation
Author :
Huang, Linlin ; Gui, Tianyi
Author_Institution :
Inst. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing
Abstract :
In this paper, we present a GVF-Snake based method for liver region segmentation on CT images. Firstly, the CT images are enhanced using a method of histogram equalization and anisotropic diffusion filter. Then, a region based method is applied to complement rough segmentation. Finally, an improved generalized gradient vector flow snake model (GVF-Snake) is adopted for the refinement of the rough segmentation. Experiment results show that the proposed method can precisely extract the liver region.
Keywords :
computerised tomography; feature extraction; gradient methods; image enhancement; image segmentation; liver; medical image processing; CT image enhancement; anisotropic diffusion filter; generalized gradient vector flow snake model; histogram equalization; liver region extraction; liver region segmentation; region based method; rough segmentation; Anisotropic magnetoresistance; Automation; Computed tomography; Filters; Histograms; Image segmentation; Liver; Research and development;
Conference_Titel :
Pattern Recognition, 2008. CCPR '08. Chinese Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2316-3
DOI :
10.1109/CCPR.2008.79
