Active contour model using fractional sinc wave function for medical image segmentation

Active contour model using fractional sinc wave function for medical image segmentation

Intensity inhomogeneity occurs when pixels in medical images overlap due to anomalies in medical imaging devices. These anomalies lead to difficult medical image segmentation. This study proposes a new active contour model (ACM) with fractional sinc function to inexpensively segment medical images w...

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Main Author: Norshaliza Kamaruddin
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2016
Online Access:http://journalarticle.ukm.my/10062/
http://journalarticle.ukm.my/10062/
http://journalarticle.ukm.my/10062/1/15146-45992-1-PB.pdf
id ukm-10062
recordtype eprints
spelling ukm-100622017-02-01T06:39:02Z http://journalarticle.ukm.my/10062/ Active contour model using fractional sinc wave function for medical image segmentation Norshaliza Kamaruddin, Intensity inhomogeneity occurs when pixels in medical images overlap due to anomalies in medical imaging devices. These anomalies lead to difficult medical image segmentation. This study proposes a new active contour model (ACM) with fractional sinc function to inexpensively segment medical images with intensity inhomogeneity. The method integrates a nonlinear fractional sinc function in its curve evolution and edge enhancement. The fractional sinc function contributes in giving a rapid contour movement where it improves the curve’s bending capability. Furthermore, the fractional sinc function enables the contour evolution to move toward the object based on the preserved edges. This study uses the proposed method to segment medical images with intensity inhomogeneity using five various image modalities. With improved speed, the proposed method more accurately segments medical images compared with other baseline methods. Penerbit Universiti Kebangsaan Malaysia 2016-12 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/10062/1/15146-45992-1-PB.pdf Norshaliza Kamaruddin, (2016) Active contour model using fractional sinc wave function for medical image segmentation. Asia-Pacific Journal of Information Technology and Multimedia, 5 (2). pp. 47-61. ISSN 2289-2192 http://ejournals.ukm.my/apjitm/issue/view/871
repository_type Digital Repository
institution_category Local University
institution Universiti Kebangasaan Malaysia
building UKM Institutional Repository
collection Online Access
language English
description Intensity inhomogeneity occurs when pixels in medical images overlap due to anomalies in medical imaging devices. These anomalies lead to difficult medical image segmentation. This study proposes a new active contour model (ACM) with fractional sinc function to inexpensively segment medical images with intensity inhomogeneity. The method integrates a nonlinear fractional sinc function in its curve evolution and edge enhancement. The fractional sinc function contributes in giving a rapid contour movement where it improves the curve’s bending capability. Furthermore, the fractional sinc function enables the contour evolution to move toward the object based on the preserved edges. This study uses the proposed method to segment medical images with intensity inhomogeneity using five various image modalities. With improved speed, the proposed method more accurately segments medical images compared with other baseline methods.
format Article
author Norshaliza Kamaruddin,
spellingShingle Norshaliza Kamaruddin,
Active contour model using fractional sinc wave function for medical image segmentation
author_facet Norshaliza Kamaruddin,
author_sort Norshaliza Kamaruddin,
title Active contour model using fractional sinc wave function for medical image segmentation
title_short Active contour model using fractional sinc wave function for medical image segmentation
title_full Active contour model using fractional sinc wave function for medical image segmentation
title_fullStr Active contour model using fractional sinc wave function for medical image segmentation
title_full_unstemmed Active contour model using fractional sinc wave function for medical image segmentation
title_sort active contour model using fractional sinc wave function for medical image segmentation
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2016
url http://journalarticle.ukm.my/10062/
http://journalarticle.ukm.my/10062/
http://journalarticle.ukm.my/10062/1/15146-45992-1-PB.pdf
first_indexed 2023-09-18T19:56:23Z
last_indexed 2023-09-18T19:56:23Z
_version_ 1777406557821075456

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