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Study on Row Scan Line Based Edge Tracing Technology for Vehicle Recognition System

机译:基于行扫描线的车辆识别系统边缘跟踪技术研究

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摘要

In the process of the feature extraction of vehicle recognition system, the edge vector must be extracted first. However, there are many regions in an image, and it is difficult to extract the edge vectors of these regions of the objects of the image. Therefore a novel edge tracing method based on row-scan-line of image for vehicle recognition tasks is proposed. It was applied to the pixel set formed from the vehicle image in order to obtain the characteristic vector which is very import in the vehicle recognition. The paper shows the reader the feature vector for vehicle contour, the principle of this contour tracing algorithm, the structure of the recognition system, and the implement of this new approach Experiments have been conducted on the videos obtained from a real time monitor, the results show that the contour feature could be obtained in short time, the vector extracting method has good sensitivity to noise and local edge distortions, the edges of the objects could be determined easily, In particular, all of the edge vectors are extracted from the regions of the image at the same time, and a short time in computation can be achieved in the system.
机译:在车辆识别系统的特征提取过程中,必须首先提取边缘矢量。然而,图像中有很多区域,并且难以提取图像的对象的这些区域的边缘矢量。因此,提出了一种基于图像行扫描线的车辆识别任务边缘跟踪方法。将其应用于由车辆图像形成的像素集,以获得在车辆识别中非常重要的特征向量。本文向读者展示了车辆轮廓的特征向量,轮廓跟踪算法的原理,识别系统的结构以及这种新方法的实现。已经对从实时监控器获得的视频进行了实验,结果证明了可以在短时间内获得轮廓特征,矢量提取方法对噪声和局部边缘变形具有良好的敏感性,可以容易地确定物体的边缘,特别是从边缘区域提取所有边缘矢量。可以同时获得图像,并且可以在系统中实现较短的计算时间。

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