DocumentCode
2567467
Title
Blood Vessel Segmentation in Angiograms Using Fuzzy Inference System and Mathematical Morphology
Author
Ashoorirad, Masoomeh ; Baghbani, Rasool
Author_Institution
Azad Islamic Univ. of Dezful, Dezful, Iran
fYear
2009
fDate
15-17 May 2009
Firstpage
272
Lastpage
276
Abstract
Angiography is a widely used procedure for vessel observation in both clinical routine and medical research. Often for the subsequent analysis of the vasculature it is needed to measure the angiogram area covered by vessels and/or the vessel length. For this purpose we need vessel enhancement and segmentation. In this paper, we evaluate the performance of a fuzzy inference system and morphology filters for blood vessel segmentation in a noise angiograms image.
Keywords
blood vessels; diagnostic radiography; fuzzy set theory; image enhancement; image segmentation; inference mechanisms; medical image processing; angiograms; angiography; blood vessel segmentation; fuzzy inference system; mathematical morphology; morphology filters; vessel enhancement; Biomedical imaging; Blood vessels; Data preprocessing; Fuzzy systems; Image edge detection; Image segmentation; Kernel; Low pass filters; Nonlinear filters; Surface morphology; Angiography; Fuzzy logic; Image processing; Mathematical Morphology; blood vessel segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
2009 International Conference on Signal Processing Systems
Conference_Location
Singapore
Print_ISBN
978-0-7695-3654-5
Type
conf
DOI
10.1109/ICSPS.2009.46
Filename
5166790
Link To Document