Ultrasound liver image enhancement using watershed segmentation method

This paper proposed the ultrasound liver image enhancement based on watershed segmentation method. Image segmentation is an important problem in medical image processing fields. The focus of this study is to enhance the region of liver based on watershed algorithm of segmentation and visualization t...

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Main Authors: Mahmood, Nasrul Humaimi, Zulkarnain, Noraishikin, Zulkifli, Nor Saradatul Akmar
Format: Article
Published: IJERA Publication 2012
Subjects:
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author Mahmood, Nasrul Humaimi
Zulkarnain, Noraishikin
Zulkifli, Nor Saradatul Akmar
author_facet Mahmood, Nasrul Humaimi
Zulkarnain, Noraishikin
Zulkifli, Nor Saradatul Akmar
author_sort Mahmood, Nasrul Humaimi
collection ePrints
description This paper proposed the ultrasound liver image enhancement based on watershed segmentation method. Image segmentation is an important problem in medical image processing fields. The focus of this study is to enhance the region of liver based on watershed algorithm of segmentation and visualization technique. The MATLAB is used as a tool for this study. The watershed segmentation entirely relay presented the good result base on the contrast of the image. In this study, an ultrasound image is transformed into a binary image using the threshold method, which means that the color of the output image appears only black and white. After the image is converted into binary, the image is modified using Watershed technique together with the visualization process. The result is really helpful in medical diagnostics.
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institution Universiti Teknologi Malaysia - ePrints
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spelling utm.eprints-305252019-09-22T07:25:32Z http://eprints.utm.my/30525/ Ultrasound liver image enhancement using watershed segmentation method Mahmood, Nasrul Humaimi Zulkarnain, Noraishikin Zulkifli, Nor Saradatul Akmar R Medicine (General) TP Chemical technology This paper proposed the ultrasound liver image enhancement based on watershed segmentation method. Image segmentation is an important problem in medical image processing fields. The focus of this study is to enhance the region of liver based on watershed algorithm of segmentation and visualization technique. The MATLAB is used as a tool for this study. The watershed segmentation entirely relay presented the good result base on the contrast of the image. In this study, an ultrasound image is transformed into a binary image using the threshold method, which means that the color of the output image appears only black and white. After the image is converted into binary, the image is modified using Watershed technique together with the visualization process. The result is really helpful in medical diagnostics. IJERA Publication 2012-05 Article PeerReviewed Mahmood, Nasrul Humaimi and Zulkarnain, Noraishikin and Zulkifli, Nor Saradatul Akmar (2012) Ultrasound liver image enhancement using watershed segmentation method. International Journal of Engineering Research and Applications (IJERA), 2 (3). pp. 691-694. ISSN 2248-9622 http://www.ijera.com/papers/Vol2_issue3/DO23691694.pdf
spellingShingle R Medicine (General)
TP Chemical technology
Mahmood, Nasrul Humaimi
Zulkarnain, Noraishikin
Zulkifli, Nor Saradatul Akmar
Ultrasound liver image enhancement using watershed segmentation method
title Ultrasound liver image enhancement using watershed segmentation method
title_full Ultrasound liver image enhancement using watershed segmentation method
title_fullStr Ultrasound liver image enhancement using watershed segmentation method
title_full_unstemmed Ultrasound liver image enhancement using watershed segmentation method
title_short Ultrasound liver image enhancement using watershed segmentation method
title_sort ultrasound liver image enhancement using watershed segmentation method
topic R Medicine (General)
TP Chemical technology
work_keys_str_mv AT mahmoodnasrulhumaimi ultrasoundliverimageenhancementusingwatershedsegmentationmethod
AT zulkarnainnoraishikin ultrasoundliverimageenhancementusingwatershedsegmentationmethod
AT zulkiflinorsaradatulakmar ultrasoundliverimageenhancementusingwatershedsegmentationmethod