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...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti Kebangsaan Malaysia
2016
|
| Online Access: | http://journalarticle.ukm.my/10062/ http://journalarticle.ukm.my/10062/1/15146-45992-1-PB.pdf |
| _version_ | 1848812265005907968 |
|---|---|
| author | Norshaliza Kamaruddin, |
| author_facet | Norshaliza Kamaruddin, |
| author_sort | Norshaliza Kamaruddin, |
| building | UKM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T23:59:32Z |
| format | Article |
| id | oai:generic.eprints.org:10062 |
| institution | Universiti Kebangasaan Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T23:59:32Z |
| publishDate | 2016 |
| publisher | Penerbit Universiti Kebangsaan Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:generic.eprints.org: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 |
| spellingShingle | Norshaliza Kamaruddin, Active contour model using fractional sinc wave function for medical image segmentation |
| title | 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_short | 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 |
| url | http://journalarticle.ukm.my/10062/ http://journalarticle.ukm.my/10062/ http://journalarticle.ukm.my/10062/1/15146-45992-1-PB.pdf |