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Compact hardware realization for Hough based extraction of line segments in image sequences for vehicle guidance

机译:紧凑的硬件实现,用于基于霍夫的图像序列中的线段提取,用于车辆导航

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Important key symbols used in many image processing applications are straight line segments of edges and contours. The real-time determination of straight line symbols in video sequences requires high computational rates which call for application-specific integrated circuits (ASICs). For a vision-based vehicle guidance system a compact image processing unit has been developed which extracts straight lines as symbols for the street boundaries. This unit consists of two specially designed ASICs for the segmentation of symbols and a general programmable microcontroller for high-level processing. The implemented pipeline of the algorithm comprises gradient operation, edge thinning line verification, and Hough transformation. Although the image processing unit was originally developed for vehicle guidance the hardware can be used for other industrial and robotic applications as well.
机译:许多图像处理应用程序中使用的重要关键符号是边缘和轮廓的直线段。视频序列中直线符号的实时确定需要很高的计算速率,这需要专用集成电路(ASIC)。对于基于视觉的车辆导航系统,已经开发了紧凑的图像处理单元,该单元提取直线作为街道边界的符号。该单元由两个专门设计的用于符号分割的ASIC和一个用于高级处理的通用可编程微控制器组成。该算法的实现管线包括梯度运算,边缘细化线验证和霍夫变换。尽管图像处理单元最初是为车辆导航而开发的,但是硬件也可以用于其他工业和机器人应用。

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