A Fast Region-Based Segmentation Model with Gaussian Kernel of Fractional Order
By summarizing some classical active contour models from the view of level set representation, a simple energy function expression with the Gaussian kernel of fractional order is proposed, and then a novel region-based geometric active contour model is established. In this proposed model, the energy...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | Advances in Mathematical Physics |
| Online Access: | http://dx.doi.org/10.1155/2013/501628 |
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| _version_ | 1832567704938086400 |
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| author | Bo Chen Qing-Hua Zou Wen-Sheng Chen Yan Li |
| author_facet | Bo Chen Qing-Hua Zou Wen-Sheng Chen Yan Li |
| author_sort | Bo Chen |
| collection | DOAJ |
| description | By summarizing some classical active contour models from the view of level set representation, a simple energy function expression with the Gaussian kernel of fractional order is proposed, and then a novel region-based geometric active contour model is established. In this proposed model, the energy function with value of [−1, 1] is built, the local mean and global mean of the inside and outside of the evolution curve are employed, and the segmentation results are obtained by controlling the expansion and contraction of the evolution curve. The model is simple and easy to implement; it can also protect weak edges because of considering more statistical information. Experimental results on synthetic and natural images show that the proposed model is much more effective in dealing with the images with weak or blurred edges, and it takes less time. |
| format | Article |
| id | doaj-art-0fdbffeb40c845288cf59e5432dfec17 |
| institution | Kabale University |
| issn | 1687-9120 1687-9139 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Mathematical Physics |
| spelling | doaj-art-0fdbffeb40c845288cf59e5432dfec172025-02-03T01:00:40ZengWileyAdvances in Mathematical Physics1687-91201687-91392013-01-01201310.1155/2013/501628501628A Fast Region-Based Segmentation Model with Gaussian Kernel of Fractional OrderBo Chen0Qing-Hua Zou1Wen-Sheng Chen2Yan Li3College of Mathematics and Computational Science, Shenzhen University, Shenzhen 518060, ChinaCollege of Mathematics and Computational Science, Shenzhen University, Shenzhen 518060, ChinaCollege of Mathematics and Computational Science, Shenzhen University, Shenzhen 518060, ChinaCollege of Mathematics and Computational Science, Shenzhen University, Shenzhen 518060, ChinaBy summarizing some classical active contour models from the view of level set representation, a simple energy function expression with the Gaussian kernel of fractional order is proposed, and then a novel region-based geometric active contour model is established. In this proposed model, the energy function with value of [−1, 1] is built, the local mean and global mean of the inside and outside of the evolution curve are employed, and the segmentation results are obtained by controlling the expansion and contraction of the evolution curve. The model is simple and easy to implement; it can also protect weak edges because of considering more statistical information. Experimental results on synthetic and natural images show that the proposed model is much more effective in dealing with the images with weak or blurred edges, and it takes less time.http://dx.doi.org/10.1155/2013/501628 |
| spellingShingle | Bo Chen Qing-Hua Zou Wen-Sheng Chen Yan Li A Fast Region-Based Segmentation Model with Gaussian Kernel of Fractional Order Advances in Mathematical Physics |
| title | A Fast Region-Based Segmentation Model with Gaussian Kernel of Fractional Order |
| title_full | A Fast Region-Based Segmentation Model with Gaussian Kernel of Fractional Order |
| title_fullStr | A Fast Region-Based Segmentation Model with Gaussian Kernel of Fractional Order |
| title_full_unstemmed | A Fast Region-Based Segmentation Model with Gaussian Kernel of Fractional Order |
| title_short | A Fast Region-Based Segmentation Model with Gaussian Kernel of Fractional Order |
| title_sort | fast region based segmentation model with gaussian kernel of fractional order |
| url | http://dx.doi.org/10.1155/2013/501628 |
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