In the process of thermal neutron imaging,due to the influence of neutron/gamma radiation,thermal noise and other factors,the neutron image inevitably produces large size visible white spot noise and other degradation phenomena,which is not conducive to non-destructive testing and subsequent quantitative analysis.According to the noise characteristics of thermal neutron imaging,an improved harmonic mean filtering algorithm is proposed for noise removal of thermal neutron images.The experimental results show that the algorithm can effectively remove large size white spot noise in thermal neutron image,while preserving image edge information,which can provide reference for the subsequent processing of thermal neutron image.
thermal neutron imagingharmonic mean filteringblind image quality evaluation
维普
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