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Scale-Space Behavior of Planar-Curve Corners

机译:平面曲线拐角的尺度空间行为

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摘要

The curvature scale-space (CSS) technique is suitable for extracting curvature features from objects with noisy boundaries. To detect corner points in a multiscale framework, Rattarangsi and Chin investigated the scale-space behavior of planar-curve corners. Unfortunately, their investigation was based on an incorrect assumption, viz., that planar curves have no shrinkage under evolution. In the present paper, this mistake is corrected. First, it is demonstrated that a planar curve may shrink nonuniformly as it evolves across increasing scales. Then, by taking into account the shrinkage effect of evolved curves, the CSS trajectory maps of various corner models are investigated and their properties are summarized. The scale-space trajectory of a corner may either persist, vanish, merge with a neighboring trajectory, or split into several trajectories. The scale-space trajectories of adjacent corners may attract each other when the corners have the same concavity, or repel each other when the corners have opposite concavities. Finally, we present a standard curvature measure for computing the CSS maps of digital curves, with which it is shown that planar-curve corners have consistent scale-space behavior in the digital case as in the continuous case.
机译:曲率缩放空间(CSS)技术适用于从具有嘈杂边界的对象中提取曲率特征。为了检测多尺度框架中的角点,Rattarangsi和Chin研究了平面曲线角的尺度空间行为。不幸的是,他们的研究基于一个不正确的假设,即平面曲线在演化过程中没有收缩。在本文中,此错误已得到纠正。首先,证明了平面曲线可能会随着尺度的变化而逐渐缩小。然后,考虑到演化曲线的收缩效应,研究了各种角模型的CSS轨迹图,并总结了它们的特性。拐角的比例空间轨迹可能会持续存在,消失,与相邻轨迹合并或分成多个轨迹。当拐角具有相同的凹度时,相邻拐角的比例空间轨迹可能彼此吸引,或者当拐角具有相反的凹度时,彼此排斥。最后,我们提出了一种用于计算数字曲线的CSS映射的标准曲率度量,通过它可以证明,在连续情况下,数字曲线中的平面曲线拐角具有一致的比例空间行为。

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