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The First Order Absolute Central Moment as an Edge-Detector in Cardiovascular Imaging: A Comparison with Two Weil-Known Edge-Detectors

机译:第一阶绝对中心时刻作为心血管成像中的边缘检测器:与两个威尔已知的边缘检测器进行比较

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Cardiovascular imaging usually requires the detection and the localization of contours. Many mathematical operators have been studied to improve the performances of the edge detection algorithms but the most frequently used operators in literature remain the Laplacian of Gaussian (LoG) and the gradient of Gaussian (GoG). Recently, a new mathematical operator, which has been obtained from the generalization of the first absolute central moment, has been proposed. The aim of this paper is to compare the edge detection and localization capabilities of this operator with those of LoG and GoG.
机译:心血管成像通常需要检测和轮廓的定位。已经研究了许多数学运营商,以改善边缘检测算法的性能,但文献中最常用的运营商仍然是高斯(日志)的拉普拉斯和高斯(GOG)的梯度。最近,已经提出了一种从第一绝对中心时刻的泛化获得的新数学运算符。本文的目的是将该运算符与日志和GOG的边缘检测和定位功能进行比较。

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