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Landmark Extraction from Echocardiography Sequence Based on Corner Detection Algorithms Using Product Moment Coefficient Matcher

机译:基于乘积矩系数匹配器的角点检测算法的超声心动图序列地标提取

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Landmark extraction is used as the first step of many vision tasks such as tracking, image registration, localization, image matching and recognition. Furthermore, landmarks are used to reduce the data flow and consequently the computational costs. In this paper we extracted landmarks from echocardiography sequence, our algorithm is based on corner extraction, and then we evaluate our algorithm with applying some test. For this purpose, we evaluated the detectors according to their repeatability, stability and landmark localization under changes in noise.
机译:地标提取被用作许多视觉任务的第一步,例如跟踪,图像配准,定位,图像匹配和识别。此外,使用界标来减少数据流并因此减少计算成本。在本文中,我们从超声心动图序列中提取出界标,我们的算法基于角点提取,然后通过一些测试对我们的算法进行评估。为此,我们根据噪声变化下的可重复性,稳定性和界标定位对检测器进行了评估。

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