Abstract
In CCD-based neutron radiography and tomography, resulting digital neutron images are usually degraded by gamma white spots caused by the interaction between high energy gamma radiation and the charge-coupled device (CCD) detector. The gamma white spots have a major impact on the accuracy of quantitative data analysis and are difficult to remove due to their high magnitudes and non-uniform distribution. In this paper, we put forward a novel iterative filtering method based on a “detection-corrosion” strategy for degraded neutron image denoising. A collaborative filtering method is adopted via integrating a spatially adaptive filter and a median filter for gamma white spots detection and removal. The experimental results show that the proposed method can achieve satisfactory denoising effect with preferable preservation of image details.
Published Version
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