Fast Region-based Active Contour Model Driven by Local Signed Pressure Force
Intensity inhomogeneity is a well-known problem in image segmentation. In this paper, we present a new region-based active contour model for image segmentation which can handle intensity inhomogeneity problem. This model introduced a new region-based signed pressure force (SPF) function, which uses...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Computer Vision Center Press
2016-02-01
|
| Series: | ELCVIA Electronic Letters on Computer Vision and Image Analysis |
| Subjects: | |
| Online Access: | https://elcvia.cvc.uab.es/article/view/794 |
| _version_ | 1819115657889841152 |
|---|---|
| author | Abdallah Azizi Kaouther Elkourd |
| author_facet | Abdallah Azizi Kaouther Elkourd |
| author_sort | Abdallah Azizi |
| collection | DOAJ |
| description | Intensity inhomogeneity is a well-known problem in image segmentation. In this paper, we present a new region-based active contour model for image segmentation which can handle intensity inhomogeneity problem. This model introduced a new region-based signed pressure force (SPF) function, which uses the local mean values provided by the local binary fitted (LBF) model. In addition, the proposed model utilizes a new regularization operation such as morphological opening and closing to regularize the level set function in the evolution process. Experimental results on synthetic and real images show that the proposed model gives satisfactory segmentation results as well as less sensitivity to the initial contour location and less time consuming compared to the LBF model. |
| first_indexed | 2024-12-22T05:04:41Z |
| format | Article |
| id | doaj.art-9539951f82984d86b9176e0e5adde1f3 |
| institution | Directory Open Access Journal |
| issn | 1577-5097 |
| language | English |
| last_indexed | 2024-12-22T05:04:41Z |
| publishDate | 2016-02-01 |
| publisher | Computer Vision Center Press |
| record_format | Article |
| series | ELCVIA Electronic Letters on Computer Vision and Image Analysis |
| spelling | doaj.art-9539951f82984d86b9176e0e5adde1f32022-12-21T18:38:08ZengComputer Vision Center PressELCVIA Electronic Letters on Computer Vision and Image Analysis1577-50972016-02-0115110.5565/rev/elcvia.794287Fast Region-based Active Contour Model Driven by Local Signed Pressure ForceAbdallah Azizi0Kaouther Elkourd1University of Biskra. AlgeriaPreparatory School for Science & Techniques, Algiers. ALGERIAIntensity inhomogeneity is a well-known problem in image segmentation. In this paper, we present a new region-based active contour model for image segmentation which can handle intensity inhomogeneity problem. This model introduced a new region-based signed pressure force (SPF) function, which uses the local mean values provided by the local binary fitted (LBF) model. In addition, the proposed model utilizes a new regularization operation such as morphological opening and closing to regularize the level set function in the evolution process. Experimental results on synthetic and real images show that the proposed model gives satisfactory segmentation results as well as less sensitivity to the initial contour location and less time consuming compared to the LBF model.https://elcvia.cvc.uab.es/article/view/794Active contour modelsImage segmentationIntensity inhomogeneityLocal image informationSigned pressure force function |
| spellingShingle | Abdallah Azizi Kaouther Elkourd Fast Region-based Active Contour Model Driven by Local Signed Pressure Force ELCVIA Electronic Letters on Computer Vision and Image Analysis Active contour models Image segmentation Intensity inhomogeneity Local image information Signed pressure force function |
| title | Fast Region-based Active Contour Model Driven by Local Signed Pressure Force |
| title_full | Fast Region-based Active Contour Model Driven by Local Signed Pressure Force |
| title_fullStr | Fast Region-based Active Contour Model Driven by Local Signed Pressure Force |
| title_full_unstemmed | Fast Region-based Active Contour Model Driven by Local Signed Pressure Force |
| title_short | Fast Region-based Active Contour Model Driven by Local Signed Pressure Force |
| title_sort | fast region based active contour model driven by local signed pressure force |
| topic | Active contour models Image segmentation Intensity inhomogeneity Local image information Signed pressure force function |
| url | https://elcvia.cvc.uab.es/article/view/794 |
| work_keys_str_mv | AT abdallahazizi fastregionbasedactivecontourmodeldrivenbylocalsignedpressureforce AT kaoutherelkourd fastregionbasedactivecontourmodeldrivenbylocalsignedpressureforce |