红外目标测量图像高精度定位方法

为解决红外目标图像定位算法易受干扰而影响定位精度的问题,根据红外目标测量图像的灰度分布特性,依据测量目标定位的要求,利用红外目标图像中每层灰度质心位置恒定的特点,提出了一种基于多质心的红外目标图像高精度定位方法.通过对每层灰度质心的聚类处理,成功地避开了测量图像噪声及背景灰度非均衡的影响,有效地提高了质心算法的定位精度.实验结果表明:该方法定位精度高,抗噪声能力强,算法效率高,易于实现,已在实际图像测量中得到充分应用.

High Precision Location Method for Infrared Target Measurement Image

In order to solve the problem that the infrared target image localization algorithm is susceptible to interference and the positioning accuracy is easy to be affected, and according to the gray target distribution of the infrared target in image, a high precision positioning method of infrared target image based on multi-centroid is proposed based on the requirement of measurement target location in the infrared target image. Through the clustering of each gray scale's centroid, the influence of the measurement image noise and the non-equilibrium of the background gray scale is successfully avoided, which effectively improves the positioning accuracy of the centroid positioning algorithm. The experimental results show that the method has high positioning accuracy, strong anti - noise ability, high efficiency and easy implementation, and it has been applied in practical image measurement.