Contour extraction of echocardiographic images based on pre-processing
In this work we present a technique to extract the heart contours from noisy echocardiograph images. Our technique is based on improving the image before applying contours detection to reduce heavy noise and get better image quality. To perform that, we combine many pre-processing techniques (filter...
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my.upm.eprints.231902018-10-24T01:04:38Z http://psasir.upm.edu.my/id/eprint/23190/ Contour extraction of echocardiographic images based on pre-processing Hussein, Zinah Rajab O. K. Rahmat, Rahmita Wirza Abdullah, Lili Nurliyana Saripan, M. Iqbal Dimon, Mohd Zamrin In this work we present a technique to extract the heart contours from noisy echocardiograph images. Our technique is based on improving the image before applying contours detection to reduce heavy noise and get better image quality. To perform that, we combine many pre-processing techniques (filtering, morphological operations, and contrast adjustment) to avoid unclear edges and enhance low contrast of echocardiograph images, after implementing these techniques we can get legible detection for heart boundaries and valves movement by traditional edge detection methods. IOP Publishing 2011 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/23190/1/Contour%20extraction%20of%20Echocardiographics%20images%20based%20on%20pre.pdf Hussein, Zinah Rajab and O. K. Rahmat, Rahmita Wirza and Abdullah, Lili Nurliyana and Saripan, M. Iqbal and Dimon, Mohd Zamrin (2011) Contour extraction of echocardiographic images based on pre-processing. IOP Conference Series: Materials Science and Engineering, 17 (1). art. no. 012042. pp. 1-6. ISSN 1757-8981; ESSN: 1757-899X http://iopscience.iop.org/article/10.1088/1757-899X/17/1/012042/meta 10.1088/1757-899X/17/1/012042 |
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In this work we present a technique to extract the heart contours from noisy echocardiograph images. Our technique is based on improving the image before applying contours detection to reduce heavy noise and get better image quality. To perform that, we combine many pre-processing techniques (filtering, morphological operations, and contrast adjustment) to avoid unclear edges and enhance low contrast of echocardiograph images, after implementing these techniques we can get legible detection for heart boundaries and valves movement by traditional edge detection methods. |
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Article |
author |
Hussein, Zinah Rajab O. K. Rahmat, Rahmita Wirza Abdullah, Lili Nurliyana Saripan, M. Iqbal Dimon, Mohd Zamrin |
spellingShingle |
Hussein, Zinah Rajab O. K. Rahmat, Rahmita Wirza Abdullah, Lili Nurliyana Saripan, M. Iqbal Dimon, Mohd Zamrin Contour extraction of echocardiographic images based on pre-processing |
author_facet |
Hussein, Zinah Rajab O. K. Rahmat, Rahmita Wirza Abdullah, Lili Nurliyana Saripan, M. Iqbal Dimon, Mohd Zamrin |
author_sort |
Hussein, Zinah Rajab |
title |
Contour extraction of echocardiographic images based on pre-processing |
title_short |
Contour extraction of echocardiographic images based on pre-processing |
title_full |
Contour extraction of echocardiographic images based on pre-processing |
title_fullStr |
Contour extraction of echocardiographic images based on pre-processing |
title_full_unstemmed |
Contour extraction of echocardiographic images based on pre-processing |
title_sort |
contour extraction of echocardiographic images based on pre-processing |
publisher |
IOP Publishing |
publishDate |
2011 |
url |
http://psasir.upm.edu.my/id/eprint/23190/1/Contour%20extraction%20of%20Echocardiographics%20images%20based%20on%20pre.pdf http://psasir.upm.edu.my/id/eprint/23190/ http://iopscience.iop.org/article/10.1088/1757-899X/17/1/012042/meta |
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13.18916 |