Ovary ultrasound image edge detection analysis: a tutorial using MATLAB
Ultrasound imaging has been used over several years and has an excellent safety record. The problem of edge detection is fundamental to many image processing systems. Besides that, the existing of the sparkle noise creates difficulties in a diagnosis image captured by the ultrasound modality. The pu...
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International Journal of Engineering Research and Applications (IJERA)
2012
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Online Access: | http://eprints.utm.my/id/eprint/31093/1/HazrinHashim2012_OvaryUltrasoundImageEdgeDetection.pdf http://eprints.utm.my/id/eprint/31093/ http://www.ijera.com/papers/Vol2_issue3/JV2316351642.pdf |
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my.utm.310932019-01-28T03:47:03Z http://eprints.utm.my/id/eprint/31093/ Ovary ultrasound image edge detection analysis: a tutorial using MATLAB Mahmood, Nasrul Humaimi Ahmmad, Siti Nor Zawani Hashim, Hazrin Abdull Rani, Siti Nurhidayah Naqiah T Technology Ultrasound imaging has been used over several years and has an excellent safety record. The problem of edge detection is fundamental to many image processing systems. Besides that, the existing of the sparkle noise creates difficulties in a diagnosis image captured by the ultrasound modality. The purpose of this study is to overcome the boundary problem by using several methods in image processing. The methods include image segmentation, morphological technique and image filtering. The ovary image captured from the ultrasound modality is used in this study. The results show that, by combining the region of interest method with threshold and morphological method, the edges and the border of the ovary can be detected. International Journal of Engineering Research and Applications (IJERA) 2012 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/31093/1/HazrinHashim2012_OvaryUltrasoundImageEdgeDetection.pdf Mahmood, Nasrul Humaimi and Ahmmad, Siti Nor Zawani and Hashim, Hazrin and Abdull Rani, Siti Nurhidayah Naqiah (2012) Ovary ultrasound image edge detection analysis: a tutorial using MATLAB. International Journal of Engineering Research and Applications (IJERA), 2 (3). pp. 1635-1642. ISSN 2248-9622 http://www.ijera.com/papers/Vol2_issue3/JV2316351642.pdf |
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T Technology Mahmood, Nasrul Humaimi Ahmmad, Siti Nor Zawani Hashim, Hazrin Abdull Rani, Siti Nurhidayah Naqiah Ovary ultrasound image edge detection analysis: a tutorial using MATLAB |
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Ultrasound imaging has been used over several years and has an excellent safety record. The problem of edge detection is fundamental to many image processing systems. Besides that, the existing of the sparkle noise creates difficulties in a diagnosis image captured by the ultrasound modality. The purpose of this study is to overcome the boundary problem by using several methods in image processing. The methods include image segmentation, morphological technique and image filtering. The ovary image captured from the ultrasound modality is used in this study. The results show that, by combining the region of interest method with threshold and morphological method, the edges and the border of the ovary can be detected. |
format |
Article |
author |
Mahmood, Nasrul Humaimi Ahmmad, Siti Nor Zawani Hashim, Hazrin Abdull Rani, Siti Nurhidayah Naqiah |
author_facet |
Mahmood, Nasrul Humaimi Ahmmad, Siti Nor Zawani Hashim, Hazrin Abdull Rani, Siti Nurhidayah Naqiah |
author_sort |
Mahmood, Nasrul Humaimi |
title |
Ovary ultrasound image edge detection analysis: a tutorial using MATLAB |
title_short |
Ovary ultrasound image edge detection analysis: a tutorial using MATLAB |
title_full |
Ovary ultrasound image edge detection analysis: a tutorial using MATLAB |
title_fullStr |
Ovary ultrasound image edge detection analysis: a tutorial using MATLAB |
title_full_unstemmed |
Ovary ultrasound image edge detection analysis: a tutorial using MATLAB |
title_sort |
ovary ultrasound image edge detection analysis: a tutorial using matlab |
publisher |
International Journal of Engineering Research and Applications (IJERA) |
publishDate |
2012 |
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http://eprints.utm.my/id/eprint/31093/1/HazrinHashim2012_OvaryUltrasoundImageEdgeDetection.pdf http://eprints.utm.my/id/eprint/31093/ http://www.ijera.com/papers/Vol2_issue3/JV2316351642.pdf |
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