Boundary extracting algorithm for image sequence using a novel Snake model
Sun Xiao-ping · Journal of Computer Applications · 2008
Boundary extraction and segmentation for Region of Interest(ROI)of medical image is an important prerequisite for analyzing,understanding and handling the images.In traditional algorithms,Snake curve initialized manually was inaccurate and easily attracted by the complex background.In order to overcome these shortcomings,a boundary extracting model of image sequence was proposed based on Snake model for medical image sequence with irregular region and complex features.Approximate boundary of image sequence was extracted by using similarity principle,and then the boundary was divided into four sub-boundaries.The sample points in the sub-boundaries keep the points balanced between the sub-boundaries.Lastly,these points were taken as the input of the contour searching in the Snake model,and the inner and external energy functions based on traditional Snake model were improved and dispersed.The experimental results show that the new method could extract boundary of the complex and abnormal regions in medical images,and has great robustness and practicality.