【摘要】 在光电测量中,可以通过对激光光斑图像中心位移的测量来确定出真实目标的微小位移,如何准确从背景中提取出光斑图像的边界,并精确地中心定位就成为一个迫切的要求。结合实际背景给出了一种结合梯度和矩心算法的目标微小位移检测方法。首先将采集到的图像利用梯度法提取出光斑图像的边缘,然后根据得到的边缘利用串行边界跟踪,确定出光斑与背景的边界,最后再结合矩心法通过对光斑图像中心位移的监测,从而实现目标真实位移的测量。计算机仿真结果表明,不仅能快速准确定位出光斑图像的中心,并能精确计算出目标的真实位移,同时具有计算量小,抗噪声强的优点。更多还原

【Abstract】 In photoelectric measuring systems,the displacement of the centre of laser facula is needed in order to get the precise displacement of the target.Therefore,how to detect the edge of facula from the image background precisely and extract centre of the facula is an exigent requirement.The article presented a new algorithm to detect the center of facula image combining gradient sharpening with barycenter method,which firstly extracted fringe using gradient sharpening,secondly detected the edge of facula image from the background,lastly by attaining the center of the facula with barycenter method to measure the real displacement of the target.The results of simulation indicate that in facula image procession,this algorithm can extract the facula centre precisely and quickly,and it has the strongpoints of less calculation and stronger anti-noise capability.更多还原