基于RFID的目标成像方法的性能评价与分析

Performance evaluation and analysis of target imaging methods based on RFID

TagScan成像系统将目标估计图像与实际图像进行直观视觉对比来评估成像性能,该方法简单易行但难以反映精确的图像失真程度,致使影响TagScan系统成像性能的因素尚未被分析。针对以上问题,本文提出一种基于偏离度的成像精度评价方法,通过计算目标实际图像轮廓点与对应的估计图像轮廓点的偏差,将目标估计图像的误差量化。选取不同边缘类型目标的估计图像为研究对象,利用偏离度分析目标初始轮廓的形式对目标成像精度的影响,为目标初始轮廓的优化设定提供依据。仿真结果表明:对于四边形目标,采用直线型目标初始轮廓获取的估计图像的偏离度比采用弧线型目标初始轮廓获取的估计图像的偏离度降低了87.63%;对于圆形目标,采用弧线型目标初始轮廓的估计图像的偏离度比采用直线型目标初始轮廓的估计图像的偏离度降低了96.6%。

The TagScan imaging system visually compares the estimated target image with the actual image to evaluate the imaging performance.This method is simple and easy to implement,but it is difficult to reflect the precision degree of image distortion.As a result,the factors affecting the imaging performance of the TagScan system have not been analyzed.To solve the above problems,an imaging accuracy evaluation method based on deviation degree is proposed,which quantifies the error of the target estimated image by calculating the deviation between the actual target image contour point and the corresponding estimated image contour point.The estimated images of targets with different edge types are selected as the research object,and the influence of the initial contour of the target on the imaging accuracy of the target is analyzed by the degree of deviation,and a basis is provided for the optimization of the initial contour of the target.The simulation results show that for the quadrilateral target,the deviation of the estimated image obtained by the initial contour of the linear target is reduced by 87.63%compared with that of the arc-shaped target;for the circular target,the arc-shaped target is used.The deviation of the estimated image of the initial contour of the target is reduced by 96.6%compared with that of the linear target.