Computerized anisotropic diffusion of two dimensional ultrasonic images using multi-direction spreading approaches
Ultrasound medical imaging is widely used nowadays in clinical application due to its intuitive,convenient, safety, non-invasive, and low cost. However, ultrasound image formation always comes withspeckle-noise which will greatly reduce the image quality, and makes the identification and analysis of...
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my.utm.448062017-09-14T01:32:07Z http://eprints.utm.my/id/eprint/44806/ Computerized anisotropic diffusion of two dimensional ultrasonic images using multi-direction spreading approaches Lai, Khin Wee Hum, Yan Chai Supriyanto, Eko TK Electrical engineering. Electronics Nuclear engineering Ultrasound medical imaging is widely used nowadays in clinical application due to its intuitive,convenient, safety, non-invasive, and low cost. However, ultrasound image formation always comes withspeckle-noise which will greatly reduce the image quality, and makes the identification and analysis of imagedetail become more challenging. Hence, we present an extended robust diffusion algorithm for optimumdiffusion while retain the edge of image features. Total eight spreading diffusion directions are implemented inthe proposed algorithm. Finding showed that this method is able to provide consistent and more objectiveresults. World Scientific and Engineering Academy and Society (W S E A S) 2011 Article PeerReviewed Lai, Khin Wee and Hum, Yan Chai and Supriyanto, Eko (2011) Computerized anisotropic diffusion of two dimensional ultrasonic images using multi-direction spreading approaches. WSEAS Transactions on Biology and Biomedicine, 8 (3). pp. 102-112. ISSN 1109-9518 |
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TK Electrical engineering. Electronics Nuclear engineering Lai, Khin Wee Hum, Yan Chai Supriyanto, Eko Computerized anisotropic diffusion of two dimensional ultrasonic images using multi-direction spreading approaches |
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Ultrasound medical imaging is widely used nowadays in clinical application due to its intuitive,convenient, safety, non-invasive, and low cost. However, ultrasound image formation always comes withspeckle-noise which will greatly reduce the image quality, and makes the identification and analysis of imagedetail become more challenging. Hence, we present an extended robust diffusion algorithm for optimumdiffusion while retain the edge of image features. Total eight spreading diffusion directions are implemented inthe proposed algorithm. Finding showed that this method is able to provide consistent and more objectiveresults. |
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Article |
author |
Lai, Khin Wee Hum, Yan Chai Supriyanto, Eko |
author_facet |
Lai, Khin Wee Hum, Yan Chai Supriyanto, Eko |
author_sort |
Lai, Khin Wee |
title |
Computerized anisotropic diffusion of two dimensional ultrasonic images using multi-direction spreading approaches |
title_short |
Computerized anisotropic diffusion of two dimensional ultrasonic images using multi-direction spreading approaches |
title_full |
Computerized anisotropic diffusion of two dimensional ultrasonic images using multi-direction spreading approaches |
title_fullStr |
Computerized anisotropic diffusion of two dimensional ultrasonic images using multi-direction spreading approaches |
title_full_unstemmed |
Computerized anisotropic diffusion of two dimensional ultrasonic images using multi-direction spreading approaches |
title_sort |
computerized anisotropic diffusion of two dimensional ultrasonic images using multi-direction spreading approaches |
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World Scientific and Engineering Academy and Society (W S E A S) |
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2011 |
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http://eprints.utm.my/id/eprint/44806/ |
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