Dept. of Electr. Eng., California Univ., San Diego, La Jolla, CA.
IEEE Trans Med Imaging. 1989;8(3):263-9. doi: 10.1109/42.34715.
Blood vessels usually have poor local contrast, and the application of existing edge detection algorithms yield results which are not satisfactory. An operator for feature extraction based on the optical and spatial properties of objects to be recognized is introduced. The gray-level profile of the cross section of a blood vessel is approximated by a Gaussian-shaped curve. The concept of matched filter detection of signals is used to detect piecewise linear segments of blood vessels in these images. Twelve different templates that are used to search for vessel segments along all possible directions are constructed. Various issues related to the implementation of these matched filters are discussed. The results are compared to those obtained with other methods.
血管通常具有较差的局部对比度，而现有的边缘检测算法的应用效果并不令人满意。引入了一种基于待识别物体的光学和空间特性的特征提取算子。血管横截面的灰度轮廓近似为高斯形曲线。利用信号匹配滤波器检测的概念来检测这些图像中血管的分段线性部分。构建了 12 个不同的模板，用于沿所有可能的方向搜索血管段。讨论了实现这些匹配滤波器的各种问题。将结果与其他方法的结果进行了比较。
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