SUN Yang-guang, CAI Chao, ZHOU Cheng-ping, et al. R-Snake:A Snake Model Using Both Boundary and Region Information[J]. Acta Electronica Sinica, 2009, 37(8): 1810-1815.
DOI:
SUN Yang-guang, CAI Chao, ZHOU Cheng-ping, et al. R-Snake:A Snake Model Using Both Boundary and Region Information[J]. Acta Electronica Sinica, 2009, 37(8): 1810-1815.DOI:
R-Snake:A Snake Model Using Both Boundary and Region Information
Traditional Snake model is sensitive to the initialization of contour
easily relapsed into a local optimal in a high noise image
and invalid for the image contour with deeply narrow concavities.By designing the image transform operator to derive the region force from the region information included in the interested object
and using Green formula with the conversation ability between region integral and curve integral
a novel snake model R-Snake(Region Snake)was proposed in this paper to extract the contour of interested object
which more directly introduces region information to active contour model in terms of the force balance equation.Because of evolving the contour curve by using both region information and gradient information
our proposed method could not only extend the initialization of contour and alleviate the sensitivity to image noise
but also improve the capacity to converge into complex boundary.Compared with the traditional Snake model
experimental results demonstrated its feasibility and robustness
especially for the images with high noise and deeply narrow concavities.