Robust and efficient line extraction algorithm has been widely used in space photogrammetry field such as target pose detection,tracking and skeleton reconstruction.A line segment detector based on local contrast of pixels and global false detection control was proposed.The method consists of four steps.Firstly,the gradient and local contrast of each pixel was calculated.Secondly,the pixels with similar orientations were clustered into the line support region which was approximated by a rectangle.After that the line support region was fitted into a line segment with the above one pixel width and the line parameters were estimated.Finally,the line segment candidates were validated and the false detection was controlled.The experimental results show that the proposed method is much more robust and efficient than the traditional methods in hash conditions,especially in complex illumination.%鲁棒高效的直线提取算法在空间目标位姿估计、跟踪、骨架重建等领域有广泛的应用.提出基于像素局部对比度和全局虚警抑制的直线段检测算法.算法分为四步:第一步,计算像素点的梯度以及局部对比度;第二步,将方向大致相同的像素点分成直线支撑区域(像素方向为像素梯度方向的顺时针垂直方向),并对支撑区域进行矩形近似;第三步,在直线支撑区域内拟合直线段,计算直线参数;第四步,根据直线支撑区域信息验证直线段,抑制虚警.实验测试结果表明:该算法在复杂条件下,特别是光照影响条件下,具有更好的鲁棒性和效率.
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