Terahertz dangerous article detection method based on depth learning
A technology of deep learning and detection method, which is applied in the field of terahertz dangerous goods detection based on deep learning, can solve the problem of high error rate, and achieve the effect of improving the detection rate, reducing the complexity and improving the calculation speed.
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[0033] The deep learning-based terahertz dangerous goods detection method of the present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.
[0034] Such as figure 1 As shown, the object to be detected in this embodiment is a human body, and the terahertz dangerous goods detection method based on deep learning includes the following steps:
[0035] 1. Build a sample image database of dangerous goods, classify dangerous goods, collect and mark the corresponding dangerous goods; at the same time, collect the sample library of dangerous goods according to the terahertz images obtained by terahertz detection of dangerous goods, add negative sample images, and then The image is processed into a grayscale image of the same size suitable for training and testing;
[0036] 2. Train the CNN neural network model, design and test the CNN network model, then adjust the parameters of learning rate, batsize and number of iterations, r...
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