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Detecting Edges with Bi-Directional Tracing Across Multiple Scales

机译:跨多个比例尺双向检测边缘

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For our human vision system, natural images are understood via a progressive and hierarchical process; that is, a multi-scale analysis. Motivated by this fact, a multi-scale algorithm for edge detection is proposed in this paper. The novelty of the proposed algorithm lies in that a bi-directional tracing strategy is used, which first conducts a forward tracing (FT) operation in coarse-to-fine direction and then a backward confirm (BC) operation in fine-to-coarse direction across multiple scales. With the FT operation, the location accuracy of detected edges is improved; with the BC operation, spurious edges are removed. The edge map generated with this bi-directional tracing strategy can therefore have a better quality than that generated by the existing multi-scale edge detectors. Extensive simulation results have shown that our new algorithm is superior to a number of state-of-the-art edge detection algorithms in both subjective visual assessment and objective measurement.
机译:对于我们的人类视觉系统,自然图像是通过渐进的和分级的过程来理解的;即多尺度分析。为此,提出了一种多尺度的边缘检测算法。该算法的新颖性在于使用了双向跟踪策略,该策略首先在从粗到精的方向上进行前向跟踪(FT)操作,然后在从细到粗的方向上进行向后确认(BC)操作跨多个尺度的方向。通过FT操作,提高了检测到的边缘的定位精度;通过BC操作,可以去除杂散边缘。因此,用这种双向跟踪策略生成的边缘图可以比现有的多尺度边缘检测器生成的边缘图具有更好的质量。大量的仿真结果表明,我们的新算法在主观视觉评估和客观测量方面均优于许多最新的边缘检测算法。

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