基于彩色图像分割的飞机机头定位方法

Position Detection of Airplane Head Based on Color Image Segmentation

为了防止停在机库内的飞机被其他移动的飞机相撞,提出了一种基于彩色图像分割技术的飞机机头定位方法,将该方法用于智能化飞机机库安全监控系统中,以实现飞机防撞报警功能。首先将摄像机拍摄的RGB图像转换为HSI图像,根据饱和度和色度的双阈值分割方法,初始分割出红色机头部分;对于初始分割结果,再通过形态学腐蚀、膨胀处理以及面积阈值分割手段来自动确定机头顶点位置,设置出安全防护区。经过现场实验表明,该方法可较好地确定飞机的机头位置,因而在一定程度上提高了传统监控系统的智能性。

In order to avoid airplanes parking in the depot from crashing other moving airplanes, this paper proposed a method about position detection of airplane head based on image color character analysis. The method is used in the designing of intelligent security surveillance system for airplane depot toward the functioning of collision and striking warning. Firstly, the RGB image captured by the camera is transtormed into the HSI space. Then the red area, which is related to airplane head, is extracted by double thresholding of the saturation and hue components. And then the segmented image is post-processed with morphological operations to determine tile vertex of airplane head and the corresponding safe zone. Experimental results demonstrate that this method can detect the airplane head effictively and improve the performance of the classical surveillance system.