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Pre-processing importance for extracting contours from noisy echocardiographic images


Hussein, Zinah Rajab and O. K. Rahmat, Rahmita Wirza and Abdullah, Lili Nurliyana and Saripan, M. Iqbal and Dimon, Mohd Zamrin (2009) Pre-processing importance for extracting contours from noisy echocardiographic images. International Journal of Computer Science and Network Security, 9 (3). pp. 134-137. ISSN 1738-7906


Contours extraction from two dimensional echocardiographic images has been a challenge in digital image processing. This is essentially due to the heavy noise, poor quality of these images and some artifacts like papillary muscles, intra-cavity structures as chordate, and valves that can interfere with the endocardial border tracking. In this paper, we will present a technique to extract the contours of heart boundaries from a sequence of echocardiographic images, where it started with pre-processing to reduce noise and produce better image quality. By pre-processing the images, the unclear edges are avoided, and we can get an accurate detection of both heart boundary and movement of heart valves.

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Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
Faculty of Engineering
Publisher: IJCSNS
Keywords: Echocardiography images; Noise reduction; Edge detection
Depositing User: Ms. Nida Hidayati Ghazali
Date Deposited: 12 Jul 2013 08:37
Last Modified: 24 Oct 2018 04:35
URI: http://psasir.upm.edu.my/id/eprint/16320
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