机场行李提取中行李箱图像识别与旋转仿真

为了减少机场旅客提取行李的时间,缓解机场拥挤问题,设计了一种行李箱自动识别和旋转系统。该系统主要包括行李箱图像预处理和角度计算与旋转两大部分。图像预处理对行李箱图像进行灰度处理、运用中值滤波对行李箱图像进行降噪、对行李箱图像进行二值化处理;然后对图像中有效轮廓进行截取;最后计算行李箱旋转角度并进行旋转。通过应用Matlab仿真验证了本文所提出的图像识别、处理和角度计算等的有效性和适用性。将行李箱把手旋转到靠近旅客的一侧可达到缩短旅客提取行李箱的时间,促进机场高效运行的目标,符合机场运营的需要,能够提高机场的运营和管理水平。

Simulation Research on Luggage Image Recognition and Rotation in Airport Luggage Claim

In this paper,we designed an automatic luggage image recognition and rotation method.The method mainly includes two parts,namely luggage image preprocessing,and angle calculation&rotation.In image preprocessing,the grayscale processing is first performed on the luggage image,followed by the median filtering to reduce image noise,and finally the binarization treatment to the image.Next the effective contours of the image is retained.At the end,the angles of the image is calculated based on which the necessary rotation will be effected.The validity and applicability of the image recognition,processing and angle calculation proposed in this paper are verified through a Matlab simulation.