A Variational Level Set Method of Image Segmentation Based on Thresholding Initial Contour
Lu Zhang · Journal of Jiangxi University of Science and Technology · 2011
Variational level set method is a quite hot research point in image processing.C-V model is a classic approach to segment image based on variational level set.It is especially helpful for medical images analysis,which has complex topology constructions,strong noises and lower contrast.But C-V model depends on initial contour.Image thresholding is also a simple and popular image segmentation method,which separates an image into two parts,and gets the target sub-image from background image.In the article,these two methods are integrated together.By analyzing the distribution of image gray level histogram,the authors propose a new method which initializes contour using threshold.It solves the shortages about how to set initial contours in C-V model.The novel C-V model used in dental plaque image segmentation and experiments illustrates that the method proposed can help segment images.It provides a preliminary work to further analyze dental plaque.