Extraction of blood vessel in lung CT images based on tracking algorithm
Zhao Nan · Computer Engineering and Applications Journal · 2007
Because of the low contrast between blood vessel and background in lung CT images,a part of vessel can be extracted through the traditional thresholding and thinning algorithm.To solve this problem,on the basis of the vessel detected by thresholding and thinning algorithm,a tracking algorithm depending on the gray gradient between vessel and background is proposed in the paper,which extracts the vessel missed by thresholding and thinning processing.In this paper,we extract the skeleton of vessel by using morphological thinning algorithm from OTSU algorithm based binarization image,and more tiny vessel tracked by using gradient information and direction depending on the smoothness of vessel.It is proved effective by experiment.