| 一种改进的C-V主动轮廓模型 |
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| 引用本文： | 张洋,唐克伦,刘琰,白晓莉,刘继鹏.一种改进的C-V主动轮廓模型[J].四川理工学院学报(自然科学版),2014,27(5):33-36. |
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| 作者姓名： | 张洋 唐克伦 刘琰 白晓莉 刘继鹏 |
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| 作者单位： | 四川理工学院机械工程学院,四川自贡,643000 |
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| 摘 要： | 针对C-V(Chan-Vese)模型不能较好分割灰度不均匀图像的缺点,对C-V模型能量方程进行改进。将图像的局部灰度拟合信息融入到面积项中,使分割兼顾了图像的全局和局部信息,同时加入惩罚能量项来约束水平集函数逼近符号距离函数,避免模型重新初始化。对灰度不均匀图像分割的实验结果表明,该模型优于C-V模型。
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| 关 键 词： | 图像分割 主动轮廓模型 C-V模型 灰度不均 |
An Improved Active Contour Model Based on C-V Model |
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| ZHANG Yang,TANG Kelun,LIU Yan,BAI Xiaoli,LIU Jipeng.An Improved Active Contour Model Based on C-V Model[J].Journal of Sichuan University of Science & Engineering:Natural Science Editton,2014,27(5):33-36. |
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| Authors: | ZHANG Yang TANG Kelun LIU Yan BAI Xiaoli LIU Jipeng |
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| Institution: | ZHANG Yang;TANG Kelun;LIU Yan;BAI Xiaoli;LIU Jipeng;School of Mechanical Engineering,Sichuan University of Science&Engineering; |
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| Abstract: | Aiming at the shortcoming of inaccuracy segmentation in non-homogeneous images of C-V（ Chan-Vese） model,the energy equation of C-V（ Chan-Vese） model is improved.The local gray fitting function is integrated to area term,so that segmentation can balance both global and local information.In addition,the re-initialization can be avoided because the penalty term forces the level set function to be close to a signed distance function.The segmentation experiments for non-homogeneous images demonstrate that the proposed method can get better results than traditional C-V model. |
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| Keywords: | image segmentation active contour model C-V model gray inhomogeneity |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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