title: |
Fuzzy based subcutaneous fat assessment in real time ultrasound images |
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publication: |
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part of series: |
Advances in Intelligent Systems Research | |
| pages: | 350 - 357 | |
DOI: |
To be assigned soon (how to use a DOI) | |
author(s): |
Pedro Couto, Severiano Silva, Edurne Barrenechea, Ana Santos, Pedro Melo-Pinto |
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publication date: |
July 2011 |
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keywords: |
Atanassov's Intuitionistic Fuzzy Sets, Entropy, Multi-thresholding |
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abstract: |
The present work addresses the study of techniques of
digital image processing based on fuzzy logic for subcutaneous fat (SF) estimation in real time ultrasound
(RTU) images. The process for SF automatic estimation in RTU images is divided into two steps: the identification of the image area corresponding to the SF regions and, from these regions, the SF estimation. In order to deal with the ambiguity present in the gray levels of RTU images, fuzzy logic based methods are used.
Experimental results are also presented. |
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copyright: |
©
Atlantis Press. This article is distributed under the
terms of the Creative Commons Attribution License, which permits
non-commercial use, distribution and reproduction in any medium,
provided the original work is properly cited. |
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full text: |