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Convolution based hybrid image processing technique for microscopic images of etch-pits in Nuclear Track Detectors

A novel image processing technique based on convolution is developed for analyzing the etch-pit images in Nuclear Track Detectors (NTDs). The outcomes of the application of the proposed method on the different types of NTDs (e.g., CR-39, PET) containing etch-pit openings of different sizes and shape...

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Bibliographic Details
Published in:arXiv.org 2019-11
Main Authors: Kanik Palodhi, Chatterjee, Joydeep, Bhattacharyya, Rupamoy, Dey, S, Ghosh, Sanjay K, Maulik, Atanu, Raha, Sibaji
Format: Article
Language:English
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Summary:A novel image processing technique based on convolution is developed for analyzing the etch-pit images in Nuclear Track Detectors (NTDs). The outcomes of the application of the proposed method on the different types of NTDs (e.g., CR-39, PET) containing etch-pit openings of different sizes and shapes (circular and elliptical) is presented. Promising results have been obtained for both identifying and counting the etch-pits in NTDs.
ISSN:2331-8422