The first order absolute moment in contour tracking

M. Paterni, M. Demi, C. Morizzo, M. Kozáková, C. Palombo
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引用次数: 8

Abstract

A procedure to outline contours automatically in temporal sequences of cardiovascular images is presented. The contour determined on the n/sup th/ frame of the sequence is used as the starting contour to determine the contour on the (n+1)/sup th/ frame. When given a starting contour standard edge detectors can efficiently locate only ideal discontinuities with step shape. First and second Gaussian derivatives, computed at points p/sub i/ of the starting contour, directly provide amplitude and direction of the vectors which join p/sub i/ to the respective points of the final contour. Conversely, if the discontinuity does not show an ideal profile with step shape, the computation of the Gaussian derivatives must be carried out at all points between the starting and the final contour. In the paper, a property of the first order absolute moment is exploited to develop a robust and efficient iterative procedure which can be used to locate discontinuities that do not show an ideal step profile.
轮廓跟踪中的一阶绝对矩
提出了一种自动勾画心血管图像时间序列轮廓的方法。在序列的n/sup / frame上确定的轮廓作为起始轮廓来确定(n+1)/sup / frame上的轮廓。当给定起始轮廓时,标准边缘检测器只能有效地定位具有阶跃形状的理想不连续点。在起始轮廓的p/ i/点处计算的一阶和二阶高斯导数直接提供了将p/ i/与最终轮廓的各自点连接起来的向量的振幅和方向。相反,如果不连续面没有显示出阶梯形状的理想轮廓,则必须在起始和最终轮廓之间的所有点上进行高斯导数的计算。本文利用一阶绝对矩的一个性质,开发了一种鲁棒而有效的迭代方法,可用于定位不表现出理想阶跃轮廓的不连续点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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