Detail publikace

Detection of Artery Section Area Using Artificial Immune System Algorithm Using Artificial Immune System Algorithm

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"
}