A stopping criterion to halt iterations at the Richardson-Lucy deconvolution of radiographic images

37th Brazilian Meeting on Nuclear Physics

Almeida, G.L.^1 ; Silvani, M.I.^1 ; Souza, E.S.^2 ; Lopes, R.T.^2

Instituto de Engenharia Nuclear - CNEN, Caixa Postal 68550, Rio de Janeiro - RJ

CEP 21945-970, Brazil^1

Laboratório de Instrumentação Nuclear - UFRJ, Caixa Postal 68509, Rio de Janeiro - RJ

CEP 21945970, Brazil^2

关键词: FORTRAN programs;    Iterative deconvolution;    Number of iterations;    Radiographic images;    Stopping criteria;    System resolution;    Thermal neutrons;    Visual inspection;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/630/1/012003/pdf
DOI  :  10.1088/1742-6596/630/1/012003

来源: IOP

【 摘 要 】

Radiographic images, as any experimentally acquired ones, are affected by spoiling agents which degrade their final quality. The degradation caused by agents of systematic character, can be reduced by some kind of treatment such as an iterative deconvolution. This approach requires two parameters, namely the system resolution and the best number of iterations in order to achieve the best final image. This work proposes a novel procedure to estimate the best number of iterations, which replaces the cumbersome visual inspection by a comparison of numbers. These numbers are deduced from the image histograms, taking into account the global difference G between them for two subsequent iterations. The developed algorithm, including a Richardson-Lucy deconvolution procedure has been embodied into a Fortran program capable to plot the 1stderivative of G as the processing progresses and to stop it automatically when this derivative - within the data dispersion - reaches zero. The radiograph of a specially chosen object acquired with thermal neutrons from the Argonauta research reactor at Institutode Engenharia Nuclear - CNEN, Rio de Janeiro, Brazil, have undergone this treatment with fair results.