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基于自适应方向滤波的左心室轮廓提取

纪震1, 牟轩沁1, 蔡元龙1(西安交通大学图象处理与识别研究所,西安 710049)

摘 要
提出了基于自适应方向滤波方法来提取左心室轮廓。在噪声的干扰下,引入经平滑处理的方向滤波能够得到精确的边缘,所获得的边缘方向矢量能够在边级跟踪时对边缘走向进行预测,同时对参数进行自适应调整,通过尽量少的人机交互,算法能够自动提取出左心室的轮廓。实验证明该算法增加了边缘提取的精度和一致性,同时显著地降低了计算复杂度。
关键词
The Extracting of Left Ventricular Contour Based on Adaptive Directional Filter

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Abstract
This paper proposes the adaptive directional filter, which is exploited for the extrac ting of left ventricular (LV) contour. This algorithm could produce the exact ridge point by applying directional filter with smoothing operator in the angiography images damaged by noise. The Edge Directional Vector as the result of this filter is efficient for predicting the edge ahead, while the filter parameters is adaptive. This proposed method provides the more precise and more automatic -extracting LV contour only with fewer interactives. The experimental results show that this proposed algorithm could improve the accuracy and reproducibility, and reduce the computational consumption remarkably.
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