椭圆拟合的非线性最小二乘方法

为了在图像中确定椭圆目标精确的位置和边界,提出了一种基于非线性最小二乘的椭圆拟合方法。该方法在得到目标边界点的基础上,通过最小化拟合椭圆与边界点之间的欧氏距离,确定出由椭圆中心坐标、长半轴和短半轴长度、旋转角度共5个参数定义的椭圆,使得这一椭圆在非线性最小二乘意义下是最优的。在实际应用中,特别是人眼图像的瞳孔提取中,这种方法能够排除反光、睫毛、眼皮等的干扰,得到较为精确的瞳孔位置和边界。仿真实验和实际数据计算的结果表明,提出的方法有良好的准确性和鲁棒性。     

An Evaluation Approach for Operational Effectiveness of Anti-radiation Weapon

With the development of anti-radiation weapons,the effectiveness evaluation of anti-radiation weapons has been turned from the simple accuracy index to the integrated countermeasure capability.The research priority is how to access the combat effectiveness of anti-radiation weapons in a complex countermeasure environment.For the present situation of range test of anti-radiation weapons,a combat effectiveness assessment model based on non-linear index aggregation is proposed for anti-radiation weapons.And the corresponding index system model,index aggregation methods,index marking method and index weight determination are given.Finally,the simulation results verify the efficiency and feasibility of the proposed method.