DocumentCode
1609994
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.
fYear
2006
Firstpage
1611
Lastpage
1613
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/IEMBS.2005.1616746
Filename
1616746
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