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...
Main Authors: | , , |
---|---|
Format: | Article |
Published: |
IJERA Publication
2012
|
Subjects: |
_version_ | 1796856758716596224 |
---|---|
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. |
first_indexed | 2024-03-05T18:47:54Z |
format | Article |
id | utm.eprints-30525 |
institution | Universiti Teknologi Malaysia - ePrints |
last_indexed | 2024-03-05T18:47:54Z |
publishDate | 2012 |
publisher | IJERA Publication |
record_format | dspace |
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 |