Application of Motion Curve Edge Detection Algorithm in Omni-directional M-mode Echocardiography

WANG Kun; HUANG Liqin; ZHENG Xin

doi:10.11999/JEIT151089

Volume 38 Issue 7

Jul. 2016

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Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(7): 1660-1665

WANG Kun, HUANG Liqin, ZHENG Xin. Application of Motion Curve Edge Detection Algorithm in Omni-directional M-mode Echocardiography[J]. Journal of Electronics & Information Technology, 2016, 38(7): 1660-1665. doi: 10.11999/JEIT151089

Citation:

WANG Kun, HUANG Liqin, ZHENG Xin. Application of Motion Curve Edge Detection Algorithm in Omni-directional M-mode Echocardiography[J]. Journal of Electronics & Information Technology, 2016, 38(7): 1660-1665. doi: 10.11999/JEIT151089

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Application of Motion Curve Edge Detection Algorithm in Omni-directional M-mode Echocardiography

doi: 10.11999/JEIT151089 cstr: 32379.14.JEIT151089

1.
(Department of Physical and Electronic Engineering, Guangxi Normal University for Nationalities, Chongzuo 532200, China)
2.
(College of Physics and Information Engineering, Fuzhou University, Fuzhou 350108, China)

Funds:

The National Natural Science Foundation of China (61471124), The Natural Science Foundation of Guangxi Higher Education Institutions (YB2014418)

Received Date: 2015-09-23
Rev Recd Date: 2016-03-15
Publish Date: 2016-07-19

Abstract

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 echocardiographys 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.
- Omni-directional M-mode echocardiography,
- Fuzzy enhancement algorithm,
- Grey absolute correlation

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References(20)

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