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

Atanu Maulik; Joydeep Chatterjee; Kanik Palodhi; Rupamoy Bhattacharyya; Sanjay K. Ghosh; S. Dey; Sibaji Raha

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

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arxiv 1908.09779 v2 pith:IULKNT7U submitted 2019-08-26 physics.ins-det eess.IV

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

Kanik Palodhi , Joydeep Chatterjee , Rupamoy Bhattacharyya , S. Dey , Sanjay K. Ghosh , Atanu Maulik , Sibaji Raha This is my paper

classification physics.ins-det eess.IV

keywords ntdsconvolutiondetectorsdifferentetch-pitetch-pitsimageimages

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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.

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

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