为了对数字减影血管造影图象中的血管形态进行准确的检测，提出了一种基于数学形态学与自适应跟踪的对数字减影血管造影图象中血管形态进行检测的算法，该方法首先采用自适应跟踪和匹配滤波来求得图象中指定血管段的中心线，然后使用腐蚀梯度算子实现血管边缘的检测，另外，为了比较不同检测算子的优点，还对其他几种形态学边缘检测算子；如膨胀梯度、Beucer算子、VVL算子的性能进行了分析讨论，实验结果表明，该方法具有重要的临床应用价值，由于它不需对所得到的数字减影血管造影（DSA）图象进行平滑，即可直接对DSA图象进行血管形态检测，且不至丢失图象中血管形态的一些有用信息，因此不仅能够获得较高的精度，并且对血管段的形状也不需严格限制。

In this paper an algorithm for detecting blood vessel shape in image of digital subtraction angiograph(DSA) base on mathematical morphology is proposed. In the first step of the proposed algorithm, the central line of the designated blood vessel can be detected by means of matched filter and adaptive tracking, and then the edge of the blood vessel is extracted by using erosion gradient operator. The performances of dilation gradient, Beucer operator and VVL operator are also discussed. The experimental results show that the proposed method has important value for clinic application. The method can be used directly for detecting blood vessel in DSA image without smoothing DSA image, so that some useful information of blood vessel can be preserved and the high precision of edge detection can be achieved without any strict restraint on the shape of blood vessel.