摘要
为满足激光瞄准系统中对圆目标中心的测量精度要求,提出一种新的用于移动式激光瞄准系统中圆目标边缘检测及中心定位算法.先利用和RBF神经网络结合的变结构元数学形态学算法进行边缘定位和滤除噪声,再用最小二乘拟合法定位圆目标中心.结果表明,该算法不仅能实现对圆目标轮廓的定位,而且抗噪声、精度高、稳定性好.
To satisfy the measuring precision requirement of circular target center in the system of high-precision measuring and aiming-tracing, a new algorithm, which is used in mobile laser-aiming system to detect the edge of the circular target and orientate the center, was put forward. First of all, the morphological algorithm of variable structure metamathematics which combines radial basis function （RBF） neural network was used to orientate the edge position and eliminate the noise, and then the least squares fitting method was employed to orientate the circular target center. The results showed that this algorithm not only could orientate the figure of the circular target, but also has good anti-noise performance and high precision as well as excellent stability.
出处
《应用科技》
CAS
2010年第5期5-8,共4页
Applied Science and Technology
基金
国家自然科学基金资助项目(60602007)
