Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/14309
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dc.contributor.authorPaul, Sabyasachi-
dc.contributor.authorM, Pandey-
dc.contributor.authorTripathy, S P-
dc.contributor.authorSarkar, P K-
dc.date.accessioned2012-06-29T10:08:44Z-
dc.date.available2012-06-29T10:08:44Z-
dc.date.issued2012-07-
dc.identifier.issn0975-1041 (Online); 0019-5596 (Print)-
dc.identifier.urihttp://hdl.handle.net/123456789/14309-
dc.description486-489en_US
dc.description.abstractIn this work, the 2-dimensional images of a-tracks in CR-39 detectors have been analyzed in terms of grey values to obtain the critical information such as track length and angle, which usually cannot be obtained by conventional optical microscopes. A user-interactive code has been developed for the automated track detection based on the average grey values and light intensity in the vicinity of individual tracks. The code automatically identifies the tracks, and determines the track density, length, major axis, minor axis, eccentricity, incidence angle, etc. and provides a 2-D cross-sectional view of the detected tracks. The algorithm efficiently segregates individual tracks from the overlapped multi-tracks present above a preset depth (threshold) provided by the user with the option of manual rejection of track like manufacturing defects in the detector. This method can eventually be applied for neutron spectrometric studies, where the length and angle information of the recoil tracks in solid polymeric track detectors are crucial.en_US
dc.language.isoen_USen_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceIJPAP Vol.50(07) [July 2012]en_US
dc.subjectTrack detectoren_US
dc.subjectImage analysisen_US
dc.subjectTrack lengthen_US
dc.subjectGrey levelen_US
dc.titleGrey level analysis of 2D images to determine length of -tracks in CR-39 detectorsen_US
dc.typeArticleen_US
Appears in Collections:IJPAP Vol.50(07) [July 2012]

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