| 一种改进的变分水平集车辆检测技术 |
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| 引用本文： | 张鹤,董彦麟.一种改进的变分水平集车辆检测技术[J].鞍山钢铁学院学报,2011(3):256-258,270. |
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| 作者姓名： | 张鹤 董彦麟 |
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| 作者单位： | [1]中冶焦耐工程技术有限公司,辽宁鞍山114001 [2]东北大学信息科学与工程学院,辽宁沈阳110004 |
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| 摘 要： | 针对传统运动目标检测算法存在适应性差、对噪声较敏感等缺点，提出一种基于变分水平集快速提取边缘模糊运动目标的方法。该算法利用主动轮廓模型进行边缘检测约束，并结合变分水平集方法进行二次演化获得准确的图像分割。实验证明，该方法能够快速准确的分割运动目标，对于复杂环境有较好的适应性和鲁棒性。
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| 关 键 词： | 车辆检测 主动轮廓模型 水平集 图像分割 |
Study on vehicle detection technology with improved variational level set |
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| ZHANG He,DONG Yan-lin.Study on vehicle detection technology with improved variational level set[J].Journal of Anshan Institute of Iron and Steel Technology,2011(3):256-258,270. |
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| Authors: | ZHANG He DONG Yan-lin |
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| Affiliation: | 1. Acre Coking ＆Refractory Engineering Consulting Corparation Mce, Anshan 114001,China ; 2. College of Information Science and Engineering, Nirtheastern University, Shenyang 110004 ,China) |
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| Abstract: | According to the disadvantages of traditional moving target detection algorithm, a rapid extraction method based on variation level set of the edge blur moving objects is proposed. The edge detection constraint is carried out by using active contour model, finally, the accurate image segmentation is obtained by combining with the variation level set method. The experiment results show that, it has a fast and accurate segment for moving object with a better adaptability and robustness for cornplex environment. |
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| Keywords: | vehicle detection active contour model level set image segmentation |
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