Speed up junction detector based on azimuth consensus by Harris corner

Speed up junction detector based on azimuth consensus by Harris corner
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Harris 角基于方位角一致性的加速结点检测器

DOI:
10.1007/s10043-014-0021-1
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发表时间:
2014-04
期刊:
影响因子:
1.2
通讯作者:
Lian Lin
Lian Lin
中科院分区:
物理与天体物理4区
文献类型:
--
作者:
Luo Tingjin;Zhang Jun;Lian Lin

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与普通角点相比,连接点包含了大量的分支边的结构数据。由于其复杂的计算,它阻碍了在许多计算机视觉应用的广泛使用。本文提出了一种基于Harris检测器和方位一致性的快速有效的结合点检测方法。为了加快节点检测的过程,我们采用Harris检测器过滤掉平坦区域的大部分像素,并选择候选节点集。与其他已知的检测器,包括CPDA,JUDOCA,和连的方法进行比较。实验结果表明,该方法具有较高的定位精度和分支边缘方向,对噪声和对比度影响具有较好的鲁棒性,并且计算速度较快。特别是对于真实的世界图像集,我们的方法可以比Lian的方法快8倍以上,比JUDOCA的方法快1.58倍。
Compared with common corner, junction point includes much structural data of branch edges. Due to its complicated computation, it prevents the wide use in many computer vision applications. In this paper, we propose a fast and effective junction point detection method based on Harris detector and azimuth consensus. To accelerate the process of the junction detection, we adopt Harris detector to filter out most pixels of the flat region and choose candidate junction set. Comparisons are made with other known detectors including CPDA, JUDOCA, and Lian’s method. The experimental results show our method has high-accuracy in location and branch edges’ orientation and good robustness for noise and contrast impact; what’s more, its computation time is reduced at high speed. Especially for real world image sets, our method can be more than 8 times faster than Lian’s and 1.58 times faster than JUDOCA.
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