Title :
A Vessel Extraction Algorithm Based on Point Balance
Author :
Hong, Wei ; Mou, Xuanqin ; Long, Ying ; Jiang, Lingqiu
Author_Institution :
Inst. of Image Process., Xi´´an Jiaotong Univ.
Abstract :
The article presents a concept of balance among image points based on the correlation of points and then develops a new binarization method for gray scale image, which can be used in vessel extraction of DSA images. A point is in balance only when its resistance counteracts the influence from the neighborhood, while noise breaks down such balance. By restoring the balance of every single point, the image can be a balance system, and most noise can been removed. The balance image turns into a binary image after segmentation by threshold. Experiments show that the algorithm has satisfactory effect on brain DSA images
Keywords :
blood vessels; brain; diagnostic radiography; feature extraction; image segmentation; medical image processing; binarization method; brain DSA images; digital subtraction angiography; gray scale image; image segmentation; noise; point balance; vessel extraction algorithm; Arteries; Background noise; Biomedical imaging; Blood vessels; Frequency; Histograms; Image restoration; Image segmentation; Immune system; Visualization;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1616746
