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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2001
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my.utm.87652017-11-01T04:17:46Z http://eprints.utm.my/id/eprint/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/id/eprint/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 |
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QA Mathematics Cahyo Crysdian, Cahyo Crysdian Md. Sap, Mohd. Noor Selamat, Harihodin Segmenting medical images using mathematical morphology and the improved watershed transform. |
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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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Article |
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 |
title |
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_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_sort |
segmenting medical images using mathematical morphology and the improved watershed transform. |
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Penerbit UTM Press |
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2001 |
url |
http://eprints.utm.my/id/eprint/8765/1/CahyoCrysdian2001_SegmentingMedicalImagesUsingMathematical.PDF http://eprints.utm.my/id/eprint/8765/ |
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