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
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;
Conference_Titel :
Measurement, Information and Control (ICMIC), 2013 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4799-1390-9
DOI :
10.1109/MIC.2013.6758057