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author:

Wang, Kun (Wang, Kun.) [1] | Huang, Liqin (Huang, Liqin.) [2] (Scholars:黄立勤) | Zheng, Xin (Zheng, Xin.) [3]

Indexed by:

EI Scopus PKU CSCD

Abstract:

In order to improve the detection effect of omni-directional M-mode echocardiography motion curve, this paper focuses on the research of the related issues and proposes an edge detection algorithm with fuzzy enhancement and gray system theory for the omni-directional M-mode echocardiography's motion curve. Firstly, the improved fuzzy enhancement algorithm is used to enhance the edge information, while suppressing the noise and background. Moveover, the proposed algorithm is used to detect edges on echocardiography image based on a ststistic which is constructed by gray correlation in gray system theory. Finally, the best motion edges can be obtained by eliminating noise and connecting crack motion curve. Experimental results show that the proposed algorithm has better accuracy and strong robustness against the noise. © 2016, Science Press. All right reserved.

Keyword:

Echocardiography Edge detection Motion analysis Signal detection System theory

Community:

  • [ 1 ] [Wang, Kun]Department of Physical and Electronic Engineering, Guangxi Normal University for Nationalities, Chongzuo; 532200, China
  • [ 2 ] [Huang, Liqin]College of Physics and Information Engineering, Fuzhou University, Fuzhou; 350108, China
  • [ 3 ] [Zheng, Xin]Department of Physical and Electronic Engineering, Guangxi Normal University for Nationalities, Chongzuo; 532200, China

Reprint 's Address:

  • [wang, kun]department of physical and electronic engineering, guangxi normal university for nationalities, chongzuo; 532200, china

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Source :

Journal of Electronics and Information Technology

ISSN: 1009-5896

CN: 11-4494/TN

Year: 2016

Issue: 7

Volume: 38

Page: 1660-1665

0 . 5 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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