Development of cluster count algorithm for radiation measurement using complementary metal oxide semiconductor camera

Complementary metal oxide semiconductor (CMOS) camera was used as radiation detector. The methodology to use CMOS active pixel sensor for radiation monitoring purpose is discussed. A new cluster count algorithm to measure dose rates from the images captured using the commonly available CMOS cameras...

Full description

Bibliographic Details
Main Authors: Aatef Shaikh, Mukesh K Sharma, M S Kulkarni, Jis Romal, Ashutosh Gupta, Probal Chaudhury
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2017-01-01
Series:Radiation Protection and Environment
Subjects:
Online Access:http://www.rpe.org.in/article.asp?issn=0972-0464;year=2017;volume=40;issue=3;spage=116;epage=120;aulast=Shaikh
id doaj-2a62508f534e4de386ff99132c7c1463
record_format Article
spelling doaj-2a62508f534e4de386ff99132c7c14632020-11-24T22:07:56ZengWolters Kluwer Medknow PublicationsRadiation Protection and Environment0972-04642017-01-0140311612010.4103/rpe.RPE_21_17Development of cluster count algorithm for radiation measurement using complementary metal oxide semiconductor cameraAatef ShaikhMukesh K SharmaM S KulkarniJis RomalAshutosh GuptaProbal ChaudhuryComplementary metal oxide semiconductor (CMOS) camera was used as radiation detector. The methodology to use CMOS active pixel sensor for radiation monitoring purpose is discussed. A new cluster count algorithm to measure dose rates from the images captured using the commonly available CMOS cameras in cell phones and tablets for gamma radiation measurement was developed and implemented on personal computer (PC). Images were taken in standard gamma fields and analyzed on PC to generate the calibration coefficients. The algorithm was validated using 60Co source for dose rates up to 10 Gy/h by images captured on Samsung Galaxy GT-6800 tablet. The algorithm was also tested using other radiation sources such as 137Cs, 241Am, and X-rays for different dose rates.http://www.rpe.org.in/article.asp?issn=0972-0464;year=2017;volume=40;issue=3;spage=116;epage=120;aulast=ShaikhCluster count algorithmcomplementary metal oxide semiconductor pixelradiation dose rate
collection DOAJ
language English
format Article
sources DOAJ
author Aatef Shaikh
Mukesh K Sharma
M S Kulkarni
Jis Romal
Ashutosh Gupta
Probal Chaudhury
spellingShingle Aatef Shaikh
Mukesh K Sharma
M S Kulkarni
Jis Romal
Ashutosh Gupta
Probal Chaudhury
Development of cluster count algorithm for radiation measurement using complementary metal oxide semiconductor camera
Radiation Protection and Environment
Cluster count algorithm
complementary metal oxide semiconductor pixel
radiation dose rate
author_facet Aatef Shaikh
Mukesh K Sharma
M S Kulkarni
Jis Romal
Ashutosh Gupta
Probal Chaudhury
author_sort Aatef Shaikh
title Development of cluster count algorithm for radiation measurement using complementary metal oxide semiconductor camera
title_short Development of cluster count algorithm for radiation measurement using complementary metal oxide semiconductor camera
title_full Development of cluster count algorithm for radiation measurement using complementary metal oxide semiconductor camera
title_fullStr Development of cluster count algorithm for radiation measurement using complementary metal oxide semiconductor camera
title_full_unstemmed Development of cluster count algorithm for radiation measurement using complementary metal oxide semiconductor camera
title_sort development of cluster count algorithm for radiation measurement using complementary metal oxide semiconductor camera
publisher Wolters Kluwer Medknow Publications
series Radiation Protection and Environment
issn 0972-0464
publishDate 2017-01-01
description Complementary metal oxide semiconductor (CMOS) camera was used as radiation detector. The methodology to use CMOS active pixel sensor for radiation monitoring purpose is discussed. A new cluster count algorithm to measure dose rates from the images captured using the commonly available CMOS cameras in cell phones and tablets for gamma radiation measurement was developed and implemented on personal computer (PC). Images were taken in standard gamma fields and analyzed on PC to generate the calibration coefficients. The algorithm was validated using 60Co source for dose rates up to 10 Gy/h by images captured on Samsung Galaxy GT-6800 tablet. The algorithm was also tested using other radiation sources such as 137Cs, 241Am, and X-rays for different dose rates.
topic Cluster count algorithm
complementary metal oxide semiconductor pixel
radiation dose rate
url http://www.rpe.org.in/article.asp?issn=0972-0464;year=2017;volume=40;issue=3;spage=116;epage=120;aulast=Shaikh
work_keys_str_mv AT aatefshaikh developmentofclustercountalgorithmforradiationmeasurementusingcomplementarymetaloxidesemiconductorcamera
AT mukeshksharma developmentofclustercountalgorithmforradiationmeasurementusingcomplementarymetaloxidesemiconductorcamera
AT mskulkarni developmentofclustercountalgorithmforradiationmeasurementusingcomplementarymetaloxidesemiconductorcamera
AT jisromal developmentofclustercountalgorithmforradiationmeasurementusingcomplementarymetaloxidesemiconductorcamera
AT ashutoshgupta developmentofclustercountalgorithmforradiationmeasurementusingcomplementarymetaloxidesemiconductorcamera
AT probalchaudhury developmentofclustercountalgorithmforradiationmeasurementusingcomplementarymetaloxidesemiconductorcamera
_version_ 1725818515975307264