基于边缘检测与改进最大类间方差法的火箭序列图像分割算法

Rocket image sequence segmentation algorithm combined with edge detection and improved Otsu algorithm

针对某基地提出的基于机器视觉的火箭跟踪伺服系统对火箭目标分割提取的要求,提出了带有衰减因子的Prewitt边缘检测算子与改进的最大类间方差法相结合的图像分割方法。根据火箭的形态特征提出了一种带方向非线性滤波去噪法,对分割后所得到的图像做了进一步去噪处理,除去了与火箭形态无关的边缘。仿真实验表明,采用该方法对火箭目标正确分割率为96.5%,并能够实时有效地对火箭序列图像进行有效分割。

To satisfy machine vision based rocket tracking servo system＇s requirements for rocket target segmentation, a segmentation method combined with Prewitt edge detection operator with decaying factor and improved Otsu algorithm was proposed. Based on the rocket＇s morphological characteristics, a nonlinear filter de-noising method was presented to denoise and remove the non-rocket edge. Simulation results show that the proposed method has 96.5% successful segmentation rate for rocket target, and can effectively segment rocket image sequence in real-time.