数据预处理对毫米波全息图像目标检测准确度的影响

The effect of data pre-processing on the localization accuracy of millimeter wave hologram object detection

毫米波图像被广泛应用于人体安检的违禁物品检测,但是现阶段不同的预处理方法对毫米波图像目标检测的准确度有着较大的影响。通过空间滤波、空间滤波加最大值聚类和空间滤波加最小值聚类的方法对数据进行预处理,比对不同方法目标检测的准确度。实验结果表明,以上3种方法均能有效提高目标检测的定位准确度,其中空间滤波为最佳预处理方法,准确率能达到92.3%,相较于未经预处理原始数据的准确度提高了约4%。因此基于空间位置的滤波方法比基于反射强度的聚类滤波方法能更有效地提高毫米波图像检测的准确度,为提升主动式毫米波全息图像目标检测准确度的任务提供了一种参考依据。

Millimeter wave(MMW)images are widely used for the detection of contraband in human security screening.However,at this stage different pre-processing(PP)methods have a significant impact on the accuracy of MMW image target detection.To address this issue,we preprocessed the data by spatial filtering,spatial filtering plus maximum clustering and spatial filtering plus minimum clustering,and compared the accuracy of target detection by different methods.The experimental results show that all three methods can effectively improve the target detection accuracy,with spatial filtering being the best pre-processing method,achieving an accuracy of92.3%,which is an improvement of about 4%compared to the original data without PP.It indicates that the spatial location-based filtering method is more effective than the reflection intensity-based clustering filtering method in improving the accuracy of MMW image detection,which can be used to improve the accuracy of the active MMW hologram.The task of improving the accuracy of active MMW hologram target detection provides a reference point.