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

Autor:	Chatterjee, Joydeep, Bhattacharyya, Rupamoy, Maulik, Atanu, Palodhi, Kanik
Rok vydání:	2020
Předmět:	Electrical Engineering and Systems Science - Image and Video Processing High Energy Physics - Experiment
Druh dokumentu:	Working Paper
Popis:	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.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2005.07368 Zobrazit plný text záznamu View this record from Arxiv