DocumentCode
685047
Title
The segmentation method of degree-based fusion algorithm for coronary angiograms
Author
Wenwei Kang ; Wenying Kang ; Yang Li ; Qingzhu Wang
Author_Institution
Coll. of Commun. Eng., Jilin Univ., Changchun, China
Volume
01
fYear
2013
fDate
16-18 Aug. 2013
Firstpage
696
Lastpage
699
Abstract
In allusion to the low contrast of the image between the backdrop and the small blood vessels, the blurred and fuzzy background of coronary artery image, a new blood vessel extraction method based on degree is proposed. First of all, two enhanced coronary angiograms are obtained from the original image by using two different image enhancement methods. Secondly, coronary arteries are extracted from two enhanced coronary angiograms through using the transition region extraction method based on degree, and then two extracted coronary artery images are acquired. At last, two extracted blood vessel images are fused, and the result of the fusion is the final segmentation image. The experimental results show that the backdrop can be eliminated and the small vessels can be remained effectively.
Keywords
angiocardiography; blood vessels; feature extraction; image enhancement; image segmentation; medical image processing; blood vessel extraction method; blood vessel image extraction; coronary angiograms; coronary artery image; degree based fusion algorithm; image enhancement methods; image segmentation; small blood vessels; transition region extraction method; Image segmentation; Gaussian filter; coronary artery; degree; image enhancement; morphological operator; vessel segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Measurement, Information and Control (ICMIC), 2013 International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4799-1390-9
Type
conf
DOI
10.1109/MIC.2013.6758057
Filename
6758057
Link To Document