在实验中，选取了300幅裂缝图像和车道线图像，通过与类似的4种传统算法对比，本文算法能够从不同类型的线状目标图像中快速准确地提取中心线，因此可以避免或减少传统算法对此类图像的分割困难。

对部分图像，由于某些线状目标部位的梯度信息不明显，目标上的长间隙很难连接。下一步的研究重点是扩大图像类别的试验，根据线状目标走向，解决无明显梯度信息的长间隙的缝合问题。另外，在条件许可的情况下，将本文算法扩展应用到其他线性目标的检测中，如遥感或航空图像中的公路检测、金属材料的裂纹检测等。

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