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Real time contour tracking with a new edge detector

机译:使用新的边缘检测器进行实时轮廓跟踪

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In this paper, a new system for real time contour tracking is presented. If a rough contour of the desired structure is available on the first image of a sequence, the system can automatically outline the contours on the subsequent images at video rate. The method we used is based on a new edge detector which was obtained by the generalization of the first order absolute central moment operator. The new algorithm proved to be very robust to noise and fast enough to be implemented in real time. The contour tracking procedure was implemented on an integrated software/hardware platform composed of a personal computer equipped with a digital signal processing board. The system can capture an analog video signal with a resolution of 512 x 512 pixels, 25 frames/s, process the data and display the results in real time. A graphical user interface is also available to interact with the system. Tests on images of the descending thoracic aorta and of a carotid, recorded by echocardiography, are reported. The cross-sectional area of the aorta and the diameter of the carotid were computed in real time and plotted on the user interface. The system proved to be a useful tool for the investigation of vascular mechanisms.
机译:在本文中,提出了一种新的实时轮廓跟踪系统。如果序列的第一幅图像上具有所需结构的粗略轮廓,则系统可以视频速率自动在后续图像上勾勒轮廓。我们使用的方法基于一个新的边缘检测器,该检测器是通过一阶绝对中心矩算子的推广而获得的。事实证明,新算法对噪声非常鲁棒,并且足够快,可以实时实施。轮廓跟踪程序是在由配备有数字信号处理板的个人计算机组成的集成软件/硬件平台上执行的。该系统可以捕获分辨率为512 x 512像素,25帧/秒的模拟视频信号,处理数据并实时显示结果。图形用户界面也可用于与系统交互。报告了通过超声心动图记录的降主动脉和颈动脉图像的测试。实时计算主动脉的横截面积和颈动脉的直径,并绘制在用户界面上。该系统被证明是研究血管机制的有用工具。

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