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ŘÍHA, K. CHEN, P. FU, D.
Originální název
Detection of Artery Section Area Using Artificial Immune System Algorithm Using Artificial Immune System Algorithm
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
This article presents the complete chain of a method for the detection of artery section area in its perpendicular cut. The main components of the complete method are the Hough transformation for the detection of initial circle parameters and the method of discrimination-based artificial immune system for the classification of pixels located inside and outside of the artery. The source image for this processing procedure is an ultrasound B-mode picture. The main goal of this work is to find the curve of the heart cycle of blood pressure in an ultrasound video-sequence which contains a short sample (a few seconds) of pulsating geometric dimensions of the carotis comunis artery in time.
Klíčová slova
Hough Transformation, Discrimination Based Artificial Immune System, Artificial Lymphocyte, Ultrasound Image, Cardiac Curve
Autoři
ŘÍHA, K.; CHEN, P.; FU, D.
Rok RIV
2008
Vydáno
15. 12. 2008
Místo
Puerto De La Cruz, Spain
ISBN
978-960-474-035-2
Kniha
Proceedings of The 7th WSEAS International Conference on CIRCUITS, SYSTEMS, ELECTRONICS, CONTROL & SIGNAL PROCESSING
Strany od
46
Strany do
52
Strany počet
7
BibTex
@inproceedings{BUT34102, author="Kamil {Říha} and Peng {Chen} and Dongmei {Fu}", title="Detection of Artery Section Area Using Artificial Immune System Algorithm Using Artificial Immune System Algorithm", booktitle="Proceedings of The 7th WSEAS International Conference on CIRCUITS, SYSTEMS, ELECTRONICS, CONTROL & SIGNAL PROCESSING", year="2008", pages="46--52", address="Puerto De La Cruz, Spain", isbn="978-960-474-035-2" }