| 基于熵和GVF的血管内超声图像边缘检测 |
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| 引用本文： | 王昱镔,雷加印,毛征,王亚丽,吴良.基于熵和GVF的血管内超声图像边缘检测[J].国外电子测量技术,2008,27(11). |
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| 作者姓名： | 王昱镔 雷加印 毛征 王亚丽 吴良 |
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| 作者单位： | 1. 北京工业大学,北京,100124
2. 西北机电工程研究所,咸阳,712099 |
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| 摘 要： | 血管内超声(intravascular ultrasound,IVUS)图像属于复杂度高的图像,只使用传统的Snake模型、GVF模型不易得到确切的血管壁内、外膜边缘轮廓。本文采用先对IVUS原图像进行预处理的方法来降低IVUS图像的复杂度。在预处理中,提出了采用极坐标变换、基于熵的阈值分割和二值化处理的方法。之后再采取改进的GVF变换与图像迭加等处理方法。实验结果验证了该方法的有效性。
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| 关 键 词： | 血管内超声 边缘检测 极坐标变换 熵 GVF |
Edge detection for intravascular ultrasound images bases on entropy and GVF |
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| Wang Yubin,Lei Jiayin,Mao Zheng,Wang Yali,Wu Liang.Edge detection for intravascular ultrasound images bases on entropy and GVF[J].Foreign Electronic Measurement Technology,2008,27(11). |
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| Authors: | Wang Yubin Lei Jiayin Mao Zheng Wang Yali Wu Liang |
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| Affiliation: | Wang Yubin~1 Lei Jiayin~2 Mao Zheng~1 Wang Yali~1 Wu Liang~1 |
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| Abstract: | The high complexity of intravascular ultrasound (IVUS) image determines that the appropriate processing method for IVUS image is pivotal.It is not easy to get the precise lumen and adventitia borders of the IVUS image by only using the one of the Snake model or GVF Snake model.In this paper a new way is used to reduce the complexity in IVUS image preprocessing.At first,the IVUS original image is preprocessed with the polar coordinates transform and the threshold segmentation based on entropy for gray-level picture,or binary image processing.The noise dots are removed before GVF transform.Then the preprocessed image is transformed by GVF.Finally,the desirable lumen and media-adventitia borders of IVUS image are obtained.The experimental results confirm the validity of the new method. |
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| Keywords: | IVUS edge detection polar coordinates transform entropy GVF |
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