Millimeter wave security check instrument contraband automatic identification method based on image enhancement

The invention discloses a millimeter wave security inspection instrument contraband automatic identification method based on image enhancement, and the method comprises the steps: firstly carrying out the preprocessing of collected original data, improving the signal-to-noise ratio, and improving the image quality; and then the image is further enhanced, background noise is removed, the definition can be improved, the quality of subsequent samples used for training is improved, the quality of deep learning samples is improved by improving the image quality, the learning effect is improved, and the automatic recognition rate of prohibited goods is further improved. In addition, as the distinguishing capability of human eyes on colors is far higher than that on gray levels, the gray level image is converted into color representation, and the distinguishing capability on image details can be improved. 本发明公开了一种基于图像增强的毫米波安检仪违禁品自动识别方法，首先对采集的原始数据进行预处理，提高信噪比，提升图像质量；然后对图像进行进一步增强，去除背景噪声，有助于提升清晰度，提升后续用于训练的样本质量，通过提升图像质量来