| 自适应权值调整的C-V模型及图像分割 |
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| 引用本文： | 闵莉,刘继飞.自适应权值调整的C-V模型及图像分割[J].适用技术之窗,2008(3):119-121. |
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| 作者姓名： | 闵莉 刘继飞 |
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| 作者单位： | 沈阳建筑大学信息学院,辽宁沈阳110168 |
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| 基金项目： | 辽宁省教育厅科技基金项目（20060703） |
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| 摘 要： | Chan-Vese模型（简称C-V模型）是基于均质区域能量最小化的曲线演化分割框架。本文提出一种区域相关权重的C-V模型,并对模型的区域权重进行了探讨,定义了自适应权值调整函数,加速曲线收敛过程,得到精确的区域边界。实验表明该算法可行有效。
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| 关 键 词： | Chan-Vese 自适应权值调整 |
Weights Adjusting C-V Model and Image Segmentation |
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| Min Li Liu Jifei.Weights Adjusting C-V Model and Image Segmentation[J].Science & Technology Plaza,2008(3):119-121. |
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| Authors: | Min Li Liu Jifei |
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| Affiliation: | Min Li Liu Jifei(School of Information,Shenyang Jianzhu University,Liaoning Shenyang 110168) |
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| Abstract: | Chan-Vese model, also called C-V model, is a region-based curve evolving segmentation framework that modeled as an energy minimization function. This paper proposed a region correlative C-V model , discussed the region weights and defined weights adjusting function in order to fasten the curve evolution and got the real object boundary. Our experiments validated our model. |
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| Keywords: | Chan-Vese Weights Adjusting |
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