Segmenting medical images using mathematical morphology and the improved watershed transform.

An algorithm to derive simple presentation of medical image is introduced in this paper. It sounds important since the complex scene of this type of image resists any application for holding further image analysis. The algorithm consists of four processing stage i.e. gradient image, opening operatio...

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Main Authors: Cahyo Crysdian, Cahyo Crysdian, Md. Sap, Mohd. Noor, Selamat, Harihodin
Format: Article
Language:English
Published: Penerbit UTM Press 2001
Subjects:
Online Access:http://eprints.utm.my/8765/
http://eprints.utm.my/8765/1/CahyoCrysdian2001_SegmentingMedicalImagesUsingMathematical.PDF
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author Cahyo Crysdian, Cahyo Crysdian
Md. Sap, Mohd. Noor
Selamat, Harihodin
author_facet Cahyo Crysdian, Cahyo Crysdian
Md. Sap, Mohd. Noor
Selamat, Harihodin
author_sort Cahyo Crysdian, Cahyo Crysdian
building UTeM Institutional Repository
collection Online Access
description An algorithm to derive simple presentation of medical image is introduced in this paper. It sounds important since the complex scene of this type of image resists any application for holding further image analysis. The algorithm consists of four processing stage i.e. gradient image, opening operation, watershed transform, and region merging. Due to the undesired characteristic of the existing operation for supporting segmentation process, an extension of the existing gradient image, opening operation and region merging procedure is proposed. Experiment has successfully been taken to some MRI skull images in which the proposed algorithm produced a simplified shape of the image object.
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institution Universiti Teknologi Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T21:03:07Z
publishDate 2001
publisher Penerbit UTM Press
recordtype eprints
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spelling utm-87652017-11-01T04:17:46Z http://eprints.utm.my/8765/ Segmenting medical images using mathematical morphology and the improved watershed transform. Cahyo Crysdian, Cahyo Crysdian Md. Sap, Mohd. Noor Selamat, Harihodin QA Mathematics An algorithm to derive simple presentation of medical image is introduced in this paper. It sounds important since the complex scene of this type of image resists any application for holding further image analysis. The algorithm consists of four processing stage i.e. gradient image, opening operation, watershed transform, and region merging. Due to the undesired characteristic of the existing operation for supporting segmentation process, an extension of the existing gradient image, opening operation and region merging procedure is proposed. Experiment has successfully been taken to some MRI skull images in which the proposed algorithm produced a simplified shape of the image object. Penerbit UTM Press 2001-12 Article PeerReviewed application/pdf en http://eprints.utm.my/8765/1/CahyoCrysdian2001_SegmentingMedicalImagesUsingMathematical.PDF Cahyo Crysdian, Cahyo Crysdian and Md. Sap, Mohd. Noor and Selamat, Harihodin (2001) Segmenting medical images using mathematical morphology and the improved watershed transform. Jurnal Teknologi Maklumat, 13 (2). pp. 40-52. ISSN 0128-3790
spellingShingle QA Mathematics
Cahyo Crysdian, Cahyo Crysdian
Md. Sap, Mohd. Noor
Selamat, Harihodin
Segmenting medical images using mathematical morphology and the improved watershed transform.
title Segmenting medical images using mathematical morphology and the improved watershed transform.
title_full Segmenting medical images using mathematical morphology and the improved watershed transform.
title_fullStr Segmenting medical images using mathematical morphology and the improved watershed transform.
title_full_unstemmed Segmenting medical images using mathematical morphology and the improved watershed transform.
title_short Segmenting medical images using mathematical morphology and the improved watershed transform.
title_sort segmenting medical images using mathematical morphology and the improved watershed transform.
topic QA Mathematics
url http://eprints.utm.my/8765/
http://eprints.utm.my/8765/1/CahyoCrysdian2001_SegmentingMedicalImagesUsingMathematical.PDF