| 基于二进小波变换和快速主动轮廓模型的医学图像边缘提取 |
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| 引用本文： | 李虹,王惠南,常林凤,邵小丽. 基于二进小波变换和快速主动轮廓模型的医学图像边缘提取[J]. 生物医学工程学杂志, 2008, 25(6) |
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| 作者姓名： | 李虹 王惠南 常林凤 邵小丽 |
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| 作者单位： | 1. 南京航空航天大学,自动化学院,生医系,南京,210016
2. 南京军区南京总医院,南京,210016 |
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| 摘 要： | 医学图像的病灶边缘一般呈弱边缘特性,噪声干扰使得提取病灶边缘更加困难,传统的分割方法不能取得令人满意的效果.我们提出了一种基于二进小波变换和主动轮廓模型的病灶边缘提取方法.该方法采用二进小波检测出真正的边缘点,将其作为初始轮廓,再利用改进的快速主动轮廓模型算法连接边缘点,得到病灶的边缘.将该算法用于脑部MRI的肿瘤边缘提取的实验结果表明这种方法可以有效减少噪声的影响,能够准确地提取出复杂的病灶边缘.
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| 关 键 词： | 二进小波变换 主动轮廓模型 边缘提取 |
Segmentation of Medical Images Based on Dyadic Wavelet Transform and Active Contour Model |
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| Li Hong,Wang Huinan,Chang Linfeng,Shao Xiaoli. Segmentation of Medical Images Based on Dyadic Wavelet Transform and Active Contour Model[J]. Journal of biomedical engineering, 2008, 25(6) |
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| Authors: | Li Hong Wang Huinan Chang Linfeng Shao Xiaoli |
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| Affiliation: | College of Automation Engineering;Nanjing University of Aeronautics & Astronautics;Nanjing 210016;China;Nanjing General Hospital of Nanjing Military Command;China |
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| Abstract: | The interference of noise and the weak edge characteristic of symptom information on medical images prevent the traditional methods of segmentation from having good effects.In this paper is proposed a boundary detection method of focus which is based on dyadic wavelet transform and active contour model.In this method,the true edge points are detected by dyadic wavelet transform and linked by improved fast active contour model algorithm.The result of experiment on MRI of brain shows that the method can remov... |
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| Keywords: | Dyadic wavelet transform Active contour model Boundary detection |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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