摘要
本文提出了一种新的血管造影图像增强算法.血管造影图像的质量由于种种原因而比较差,因而有必要对其进行增强以便于后续的分割或者中轴提取.为了解决这一问题,本文先对各向异性增强进行了深入分析,然后结合血管造影图像的特点,建立了一种新的对比度模型.并利用此模型,对原始的各向异性扩散方法中的传导参数加以自适应选择,最后利用改进的算法对血管造影图像进行增强.实验结果表明改进的各向异性扩散算法能很好地增强血管造影图像.
Presents a new angiogram image enhancement algorithm. The X-ray angiogram image quality is often not good due to various kinds of reasons, which cause a lot of difficulties to vessel segmentation or vessel axis extraction. To overcome this shortcoming, we firstly analyze the original anisotropic diffusion. Then the characteristics of angiogram images are investigated, and a new model of contrast is presented. Based on this contrast model, we propose a new anisotropic diffusion to enhance the X-ray angiogram images, which can adaptively choose the conductance parameter. Experimental results show that this new method is very effective.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2006年第4期695-697,共3页
Acta Electronica Sinica
基金
国家973重点基础研究发展规划(No.2003CB716105)
