Image Segmentation Using Active Contours with Hessian-Based Gradient Vector Flow External Force
The gradient vector flow (GVF) model has been widely used in the field of computer image segmentation. In order to achieve better results in image processing, there are many research papers based on the GVF model. However, few models include image structure. In this paper, the smoothness constraint...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/13/4956 |
| _version_ | 1797408138416095232 |
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| author | Qianqian Qian Ke Cheng Wei Qian Qingchang Deng Yuanquan Wang |
| author_facet | Qianqian Qian Ke Cheng Wei Qian Qingchang Deng Yuanquan Wang |
| author_sort | Qianqian Qian |
| collection | DOAJ |
| description | The gradient vector flow (GVF) model has been widely used in the field of computer image segmentation. In order to achieve better results in image processing, there are many research papers based on the GVF model. However, few models include image structure. In this paper, the smoothness constraint formula of the GVF model is re-expressed in matrix form, and the image knot represented by the Hessian matrix is included in the GVF model. Through the processing of this process, the relevant diffusion partial differential equation has anisotropy. The GVF model based on the Hessian matrix (HBGVF) has many advantages over other relevant GVF methods, such as accurate convergence to various concave surfaces, excellent weak edge retention ability, and so on. The following will prove the advantages of our proposed model through theoretical analysis and various comparative experiments. |
| first_indexed | 2024-03-09T03:54:00Z |
| format | Article |
| id | doaj.art-000ac4bdee244c09a1c8e5b4e54729ea |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T03:54:00Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-000ac4bdee244c09a1c8e5b4e54729ea2023-12-03T14:22:25ZengMDPI AGSensors1424-82202022-06-012213495610.3390/s22134956Image Segmentation Using Active Contours with Hessian-Based Gradient Vector Flow External ForceQianqian Qian0Ke Cheng1Wei Qian2Qingchang Deng3Yuanquan Wang4School of Computer Science, Jiangsu University of Science and Technology, Zhenjiang 212003, ChinaSchool of Computer Science, Jiangsu University of Science and Technology, Zhenjiang 212003, ChinaSchool of Electronics and Information, Jiangsu University of Science and Technology, Zhenjiang 212003, ChinaSchool of Computer Science, Jiangsu University of Science and Technology, Zhenjiang 212003, ChinaSchool of Artificial Intelligence, Hebei University of Technology, Tianjin 300401, ChinaThe gradient vector flow (GVF) model has been widely used in the field of computer image segmentation. In order to achieve better results in image processing, there are many research papers based on the GVF model. However, few models include image structure. In this paper, the smoothness constraint formula of the GVF model is re-expressed in matrix form, and the image knot represented by the Hessian matrix is included in the GVF model. Through the processing of this process, the relevant diffusion partial differential equation has anisotropy. The GVF model based on the Hessian matrix (HBGVF) has many advantages over other relevant GVF methods, such as accurate convergence to various concave surfaces, excellent weak edge retention ability, and so on. The following will prove the advantages of our proposed model through theoretical analysis and various comparative experiments.https://www.mdpi.com/1424-8220/22/13/4956gradient vector flowHessian matriximage structureanisotropy |
| spellingShingle | Qianqian Qian Ke Cheng Wei Qian Qingchang Deng Yuanquan Wang Image Segmentation Using Active Contours with Hessian-Based Gradient Vector Flow External Force Sensors gradient vector flow Hessian matrix image structure anisotropy |
| title | Image Segmentation Using Active Contours with Hessian-Based Gradient Vector Flow External Force |
| title_full | Image Segmentation Using Active Contours with Hessian-Based Gradient Vector Flow External Force |
| title_fullStr | Image Segmentation Using Active Contours with Hessian-Based Gradient Vector Flow External Force |
| title_full_unstemmed | Image Segmentation Using Active Contours with Hessian-Based Gradient Vector Flow External Force |
| title_short | Image Segmentation Using Active Contours with Hessian-Based Gradient Vector Flow External Force |
| title_sort | image segmentation using active contours with hessian based gradient vector flow external force |
| topic | gradient vector flow Hessian matrix image structure anisotropy |
| url | https://www.mdpi.com/1424-8220/22/13/4956 |
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