| 局部活动轮廓模型对灰度不均匀图像的分割 |
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| 引用本文： | 李秀,孙长银,杨万扣.局部活动轮廓模型对灰度不均匀图像的分割[J].科技通报,2011,27(5). |
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| 作者姓名： | 李秀 孙长银 杨万扣 |
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| 作者单位： | 东南大学自动化学院,南京,210096 |
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| 基金项目： | 国家自然科学基金资助项目(61005008,90820009) |
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| 摘 要： | 针对待分割图像中存在灰度不均匀的现象,提出一种基于局部区域信息的活动轮廓模型。该模型引入函数提取图像局部区域信息,以增强光照不均匀条件下弱目标的识别能力。另外,通过结合测地线主动轮廓(GAC)模型和Chan-Vese(C-V)模型的优点,该方法对弱边界和模糊边界有较好的分割效果。实验结果表明该分割模型在灰度不均匀场景下具有良好的分割性能。
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| 关 键 词： | 图像分割 主动轮廓模型 测地线主动轮廓模型 Chan-Vase模型 局部区域 灰度不均匀 符号压力函数 |
Local Region based Active Contour Model for Intensity Inhomogeneous Image Segmentation |
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| LI Xiu,SUN Changyin,YANG Wankou.Local Region based Active Contour Model for Intensity Inhomogeneous Image Segmentation[J].Bulletin of Science and Technology,2011,27(5). |
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| Authors: | LI Xiu SUN Changyin YANG Wankou |
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| Institution: | LI Xiu,SUN Changyin~*,YANG Wankou (School of Automation,Southeast University,Nanjing 210096,China) |
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| Abstract: | In this paper,a local active contour model for intensity inhomogeneous image segmentation is proposed.A function is introduced to help extract accurately local regions in the proposed method.Furthermore,the proposed method could deal with objects even with discrete/blur boundaries by taking the advantages of Geodesic Active Contours(GAC) and Chan-Vese(C-V) model.The experimental results demonstrate the proposed model is effective in image segmentation. |
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| Keywords: | Image segmentation active contour model geodesic active contours chan-vese model local region Intensity inhomogeneous signed pressure function |
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