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飞机泊位自动引导系统中,识别跟踪定位泊位飞机时,会出现灰度较低区域被误判为阴影区域的现象,严重影响识别效果,因此分割飞机阴影是泊位成功与否的关键技术。提出一种将形态学的幂变换与无边界主动轮廓线模型结合的阴影分割方法,首先利用多方向权重形态学对泊位飞机图像中的噪声和微小的干扰区域进行滤除,然后进行幂变换来增强图像质量,最后利用无边界主动轮廓线模型分割阴影。实验结果表明,该方法不仅能够滤除噪声,保留图像细节,而且能提高分割阴影的精确度,并且抑制了泊位飞机分割产生的“拖尾”现象,有效地检测出运动飞机的阴影。
In the automatic guidance system for aircraft berths, the recognition and tracking of the berth aircraft will result in the phenomenon that the lower gray area is misjudged as the shadow area, which will seriously affect the recognition effect. Therefore, the division of the aircraft shadow is the key technology for berth success. In this paper, a shading method combining morphological power transformation and borderless active contour model is proposed. Firstly, the multi-directional weight morphology is used to filter out the noise and small interference regions in the berth aircraft image, and then power conversion Enhance the image quality, and finally use the borderless active contour model to segment the shadow. The experimental results show that this method can not only filter out noise, preserve the details of the image, but also improve the accuracy of shading the shadows and suppress the “tailing” phenomenon caused by berth aircraft segmentation, effectively detecting the shadow of a moving aircraft.