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