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Application of Machine Learning on sequential deconvolution and convolution techniques for analysis of images from Nuclear Track Detectors (NTDs)
J. Chatterjee, R. Bhattacharyya, A. Maulik,
Published in Elsevier Ltd
Volume: 144
A novel image analysis algorithm, applied to the images from Nuclear Track Detectors (NTDs), is presented. This process, involving the sequential application of deconvolution and convolution techniques, followed by the application of Artificial Neural Network (ANN), to identify the etch-pit openings in NTDs, gives a higher degree of success compared to other conventional image analysis techniques. © 2021 Elsevier Ltd
About the journal
JournalData powered by TypesetRadiation Measurements
PublisherData powered by TypesetElsevier Ltd