id: 05718628
dt: j
an: 05718628
au: Zhou, Huiyu; Yuan, Yuan; Lin, Faquan; Liu, Tangwei
ti: Level set image segmentation with Bayesian analysis.
so: Neurocomputing 71, No. 10-12, 1994-2000 (2008).
py: 2008
pu: Elsevier Science Publishers B.V., Amsterdam
la: EN
cc: 
ut: segmentation; level set; energy minimisation; Bayesian analysis
ci: 
li: doi:10.1016/j.neucom.2007.08.035
ab: Summary: Classical level set methods easily suffer from deficiency in the
    presence of noise and other significant edges adjacent to the real
    boundary. This problem has not been effectively solved in the research
    community. In this paper, we propose an improved energy function to
    tackle this problem by continuously rectifying the deviation of the
    level set function according to the signed distance function. This is
    achieved using an expectation-maximisation algorithm. Experimental work
    shows the proposed framework outperforms the classical level set
    algorithms in accuracy and efficiency of image segmentation.
rv: