Robust active contours based on local threshold preprocessing fitting energies for fast segmentation of inhomogenous images
Abstract This letter presents a robust active contour model driven by the local threshold preprocessing fitting energies to actualize fast segmentation of inhomogenous images. First, the local threshold preprocessing is carried out to compute two local intensity means. Second, these two means are so...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-07-01
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| Series: | Electronics Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/ell2.12202 |
| _version_ | 1811183588001972224 |
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| author | Baojun Guo Jinlong Cui Beibei Gao |
| author_facet | Baojun Guo Jinlong Cui Beibei Gao |
| author_sort | Baojun Guo |
| collection | DOAJ |
| description | Abstract This letter presents a robust active contour model driven by the local threshold preprocessing fitting energies to actualize fast segmentation of inhomogenous images. First, the local threshold preprocessing is carried out to compute two local intensity means. Second, these two means are sorted and serve as the local area fitting centres, which makes the contour move along the internal or external target boundaries. Finally, the above local area fitting centres are used to build the model's energy functional based on the symmetric cross entropy. Experimental results of the real inhomogenous images confirm that the presented model can segment inhomogenous images much faster and is robust to the setting up of the original contour. |
| first_indexed | 2024-04-11T09:49:22Z |
| format | Article |
| id | doaj.art-26a61a2004444ceab39f60c9a566b7a7 |
| institution | Directory Open Access Journal |
| issn | 0013-5194 1350-911X |
| language | English |
| last_indexed | 2024-04-11T09:49:22Z |
| publishDate | 2021-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | Electronics Letters |
| spelling | doaj.art-26a61a2004444ceab39f60c9a566b7a72022-12-22T04:30:51ZengWileyElectronics Letters0013-51941350-911X2021-07-01571557657810.1049/ell2.12202Robust active contours based on local threshold preprocessing fitting energies for fast segmentation of inhomogenous imagesBaojun Guo0Jinlong Cui1Beibei Gao2School of Electronic and Electrical Engineering, Beijing Jiaotong University Haibin College Huanghua ChinaSchool of Electronic and Electrical Engineering, Beijing Jiaotong University Haibin College Huanghua ChinaSchool of Electronic and Electrical Engineering, Beijing Jiaotong University Haibin College Huanghua ChinaAbstract This letter presents a robust active contour model driven by the local threshold preprocessing fitting energies to actualize fast segmentation of inhomogenous images. First, the local threshold preprocessing is carried out to compute two local intensity means. Second, these two means are sorted and serve as the local area fitting centres, which makes the contour move along the internal or external target boundaries. Finally, the above local area fitting centres are used to build the model's energy functional based on the symmetric cross entropy. Experimental results of the real inhomogenous images confirm that the presented model can segment inhomogenous images much faster and is robust to the setting up of the original contour.https://doi.org/10.1049/ell2.12202Optical, image and video signal processingInterpolation and function approximation (numerical analysis)Computer vision and image processing techniquesInterpolation and function approximation (numerical analysis) |
| spellingShingle | Baojun Guo Jinlong Cui Beibei Gao Robust active contours based on local threshold preprocessing fitting energies for fast segmentation of inhomogenous images Electronics Letters Optical, image and video signal processing Interpolation and function approximation (numerical analysis) Computer vision and image processing techniques Interpolation and function approximation (numerical analysis) |
| title | Robust active contours based on local threshold preprocessing fitting energies for fast segmentation of inhomogenous images |
| title_full | Robust active contours based on local threshold preprocessing fitting energies for fast segmentation of inhomogenous images |
| title_fullStr | Robust active contours based on local threshold preprocessing fitting energies for fast segmentation of inhomogenous images |
| title_full_unstemmed | Robust active contours based on local threshold preprocessing fitting energies for fast segmentation of inhomogenous images |
| title_short | Robust active contours based on local threshold preprocessing fitting energies for fast segmentation of inhomogenous images |
| title_sort | robust active contours based on local threshold preprocessing fitting energies for fast segmentation of inhomogenous images |
| topic | Optical, image and video signal processing Interpolation and function approximation (numerical analysis) Computer vision and image processing techniques Interpolation and function approximation (numerical analysis) |
| url | https://doi.org/10.1049/ell2.12202 |
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