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Application of Machine Learning on sequential deconvolution and convolution techniques for analysis of Nuclear Track Detector (NTD) images

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arxiv 2005.07368 v1 pith:PUGWQZFH submitted 2020-05-15 eess.IV hep-ex

Application of Machine Learning on sequential deconvolution and convolution techniques for analysis of Nuclear Track Detector (NTD) images

classification eess.IV hep-ex
keywords analysisapplicationimagestechniquesconvolutiondeconvolutionimagenuclear
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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A novel image analysis algorithm as applied to images of Nuclear Track Detectors (NTD) is presented. This process, involving sequential application of deconvolution and convolution techniques, followed by the application of Artificial Neural Network (ANN), is identifying the etch-pit openings in NTD images with a higher degree of success compared to other conventional image analysis techniques.

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