A Step Threshold Based Method for γ-ray Contraband Detection

Fast and accurate Compton scattering signal smoothing plays an important part for γ-ray-based contraband identification.Traditional methods based on polynomial averaging or wavelet analysis are not only slow but also sensitive to noise,which makes them suffer from issues such as peak amplitude decrease and peak dislocation.A new method based on step threshold is proposed for scattering signal analysis,which can overcome aforementioned issues.Firstly,the base value for Compton scattering signal is computed via data pre-processing.Secondly,the scattering data is iteratively updated using adaptive threshold and system measurement,thus producing smoothed signal data.At last,the peak is localized from the filtered signal data and abnormality is identified.Experimental results show that our method is robust against noise compared to existing methods.The amplitude and location of the peak can be accurately perceived and identified.The method is efficient and can be deployed on portable contraband detection devices.